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Address Business Issues with Data Science

3,925

4.5

Sarah Haq

CertNexus

['Data-Informed Decision-Making', 'Scope (Project Management)', 'Business Process']

This course is designed for business professionals that want to learn how to determine if a business issue is appropriate for a data science project and apply the data science process. The typical student in this course will have experience in a business setting and a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science. Before you dive into the technical details of data science, you need to understand how data science fits within a larger business context. On the job, you'll be applying your skills to achieve one or more business goals, so it's important to keep those goals in mind all throughout the project. In this first module, you'll begin developing a data science project that can achieve these goals. 11 videos3 readings1 assignment1 peer review1 discussion prompt Now that you have a greater understanding of the project's goals and design principles, you can start thinking about how to approach the project using the power of data science. In this module, you'll contextualize your work as a potential solution to a data-driven problem. 8 videos2 readings1 assignment1 peer review1 discussion prompt You'll work on a project in which you'll apply your knowledge of the material in this course to practical scenarios. 1 peer review

3 modules

Intermediate level

6 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/address-business-issues-with-data-science

Global Disease Masterclass: Communicable Diseases Epidemiology, Intervention and Prevention

5,984

4.7

Helen Ward

Imperial College London

[]

This course is all about infectious diseases. We’ve selected four disease areas — HIV, Malaria, Emerging Infectious Diseases (Ebola and Zika), and TB — and we will go through each in turn. We’ve selected these diseases because they span a range of different types of disease and allow us to look at important issues that relevance of other diseases too. We will look at each disease in the same way: we begin by looking at the aetiology and epidemiology of the diseases. We then show how data on this disease can be used to understand important trends and patterns. We then focus on the interventions that can be used to address that disease - typically spanning both prevention and treatment - and consider how policies have been developed to address the disease. We finish by reflecting on the whole topic area of the disease with an external expert. This week you will look at HIV, an infectious disease that emerged in the 1980s and has become one of the leading causes of death in many countries. You will first look at how HIV affects the immune system and causes AIDS and how it spreads from person to person. You will then review the state of the global epidemic and look at current trends in specific countries. There are many interventions that are available to help prevent transmission and to treat persons who are HIV-positive, and you will review the evidence for each. You will review and critique the strategy that has been developed to ‘end AIDS’ by UNAIDS, the UN agency tasked with leading the fight against AIDS. 9 videos6 readings2 assignments4 discussion prompts2 plugins Malaria is one of the most high-profile infectious diseases and a major cause of death in young children in many parts of the world. You will first learn about the complicated way that malaria spreads from person to person via mosquitoes. This knowledge will help you to make sense of the relationship between climate and the global distribution of malaria, and you will explore this yourself using fine-scale geographic data. You will then look at the available interventions for combatting malaria and review and critique the WHO’s strategy for combating Malaria. 5 videos2 readings2 assignments3 discussion prompts2 plugins An important theme in infectious disease research is that new outbreaks can occur. You will look at two diseases that have emerged (or re-emerged) recently – Ebola and Zika. For each in turn, you will learn about what the disease is, how it is spread and the story of the most recent outbreaks. You will also learn about the challenges of trying to understand the nature of an epidemic whilst is it starting to spread, and you will examine data from the 2014 West Africa Ebola epidemic yourself. Finally, you will review strategies have been developed for responding to outbreaks and look at some of the development that are underway that should improve our ability to respond in the future. 5 videos3 readings2 assignments2 discussion prompts The infectious disease that probably causes the most death worldwide today than any other is Tuberculosis, an ancient diseases that is posing new challenges in high and low income settings. Study this week begins with a review of how TB spreads and causes diseases and a close look at spread of disease in several different global settings. The mainstay approach has been providing treatment and you will learn how this has been done and how new approaches and seeking to do more. Prevention of TB touches on many aspects of health care and development, as well as pharmaceuticals and vaccine development, and you will learn about all the current avenues of research and implementation. Finally, you will read and critique current international strategies for ending the TB epidemic. 6 videos3 readings2 assignments2 discussion prompts

4 modules

Beginner level

https://www.coursera.org/learn/global-disease-masterclass-communicable

Building Services with ASP.NET Web API

2,467

3.9

Board Infinity

Board Infinity

['SQL Server', 'C Sharp (C#) (Programming Language)', 'asp.net', 'Object-Oriented Programming (OOP)', 'Web API']

Dive into the intricate world of building services using the ASP.NET Web API with this meticulously crafted course. Designed to cater to individuals ranging from beginners to those with a foundational understanding, this course aims to elucidate the concepts of creating RESTful services using ASP.NET Web API. In the first module, C# Programming Fundamentals, you'll begin your expedition by exploring the captivating realm of C#. With an introduction to its unparalleled significance in today's software landscape, you'll progressively delve into its foundational concepts. From understanding various data types and variables to mastering the art of conditional statements and control structures, this module paves the way for what's ahead. Progressing to the second module, Advanced C# Programming, your perspective will broaden with an intensive dive into the deeper territories of C#. Venturing into advanced topics like delegates, events, and evolved Object-Oriented Programming principles, you'll garner hands-on expertise, equipping you to handle intricate programming challenges. Dive into the third module, SQL Server for Backend Development, to turn your focus towards the pivotal backend. Unveil the capabilities and nuances of SQL Server, familiarize yourself with the crux of relational databases, and comprehend the architecture intricacies. By the end, designing and managing robust databases tailored for web applications will be second nature. Finally, in the fourth module, ASP.NET Web API, the core essence of this course unfolds. Here, you'll be introduced to the foundational principles of RESTful web services. By mastering the art of defining API endpoints and acquiring adeptness in data serialization techniques, you'll be poised to craft and deploy powerful web APIs with finesse. Upon concluding this course, you'll not only possess an in-depth understanding of building services with ASP.NET Web API but also be geared up with the proficiency to design, implement, and launch scalable and efficient web services. The C# Programming Fundamentals module is designed to equip learners with a solid foundation in the syntax, concepts, and principles of C# programming language. The module covers various topics, starting with an introduction to the C# programming language, including its history and significance in modern software development. It then progresses to cover essential aspects of programming in C# such as data types and variables, including integer, floating-point, Boolean, and string types. The module also covers the use of arithmetic, logical, and comparison operators in C#, as well as expressions and their evaluation. Learners will also explore conditional statements, loops, and branching statements in C# to control program flow, as well as the basics of creating and calling methods and functions, including passing arguments and returning values. 25 videos6 readings4 assignments1 discussion prompt The Advanced C# Programming Fundamentals module is designed to provide learners with an in-depth understanding of advanced C# programming concepts and techniques. The module covers various topics, starting with an overview of advanced programming concepts such as LINQ, delegates, and events. It then progresses to cover advanced object-oriented programming principles such as inheritance, polymorphism, and encapsulation, as well as advanced techniques for working with classes and objects, such as extension methods, interfaces, and abstract classes. The module also covers advanced topics in exception handling, threading, and asynchronous programming, including how to create and work with asynchronous and parallel code. 19 videos4 readings3 assignments SQL Server is a popular relational database management system used in many backend development projects. In the SQL Server for Backend Development module, Learners will learn how to design, implement, and maintain SQL Server databases for their applications. You will also gain an understanding of the underlying principles of database management and how to optimize performance. This module covers the basics of SQL Server, including database architecture, data types, normalization, and indexing. Students learn how to write SQL queries to retrieve and manipulate data, and they gain an understanding of how to use stored procedures, triggers, and functions to improve performance and maintain data integrity. 27 videos5 assignments ASP.NET Web API is a framework for building RESTful web services that can be consumed by a variety of clients, including web applications, mobile apps, and other services. In the ASP.NET Web API module, developers learn how to design, implement, and deploy web APIs using the ASP.NET framework. This module covers the basics of RESTful web services and HTTP protocol, and how they can be implemented in ASP.NET Web API. Students learn how to use attributes to define API endpoints and map HTTP requests to controller methods. They also gain an understanding of how to serialize and deserialize data using JSON and XML formats. 18 videos3 readings1 assignment

4 modules

Intermediate level

22 hours to complete (3 weeks at 7 hours a week)

https://www.coursera.org/learn/building-services-with-asp-net-web-api

Excel Modeling for Professionals: Best Practices & Pitfalls

17,168

4.5

Jan Stoop

Erasmus University Rotterdam

['Financial Modeling', 'Microsoft Excel', 'Excel Modelling']

What sets this Excel course apart is that we don’t focus on quick fixes or specific tips and tricks. This course is for those who already understand Excel. The aim of the course is to elevate Excel models, to improve clarity, longevity, and transferability of these models, and to reduce mistakes and to encourage consistency in businesses as they work with Excel. Through this Excel course learners will gain the tools to decide whether or not to use Excel to solve their problem. They will learn how to set up good input data, format correctly, and the importance of good documentation. Learners will gain the ability to discern between different functions, to understand the pitfalls and strengths of commonly used functions, and to apply correct functions to their Excel models. Those that follow the course will also gain understanding of logical spreadsheet structure, graphs and reporting, and protection and hidden information in Excel, and users will learn how to apply these things to their own models. Finally users will get practical tips and steps for the finalization of a model, the automated checks, the manual run through, and general testing that one should do to ensure that their Excel model is accurate and complete. In this module you will learn about this course and course aims. You will be given tools to determine whether or not there are better solutions for a certain task than Excel. You will learn how to organize your input data according to best practices. You will learn how to differentiate between good and bad formatting in Excel, and you will receive some practical tips on how to improve your own formatting. Finally you will be able to define documentation in Excel, and learn how to apply good documentation to your own Excel models. 5 videos6 readings1 assignment6 discussion prompts1 plugin This week is about the lifeblood of Excel: the functions and formulas. You will learn how you can apply functions and formulas to your Excel models responsibly, how you can discern between functions to choose the ones that work best for you in a particular scenario, and how you can understand and explain the strengths and weaknesses of different Excel functions. 4 videos3 readings1 peer review3 discussion prompts In this module you will learn how to build up a spreadsheet with a logical structure and flow, you will get some great tips on keeping your models simple, and you will learn about the dangers and effectiveness of protected and hidden information in Excel. Essentially you will gain the tools to make your spreadsheets safer and more understandable for your colleagues/clients. 4 videos3 readings1 assignment3 discussion prompts In this final module you will learn about the final things to do in a spreadsheet. You will discover what the result of a fully optimized spreadsheet looks like, which checks you can build in to ensure correct results, and you will gain the skills for last minute checks in your model to ensure the final result is correct. The checking and testing process is incredibly important. Use this module to learn more about that process and apply it to your own work in Excel. 5 videos3 readings1 peer review3 discussion prompts

4 modules

Intermediate level

https://www.coursera.org/learn/perfectxl-microsoft-excel-course

95%

Global Trends for Business and Society

17,950

4.8

Mauro Guillen

University of Pennsylvania

['Trend Analysis', 'Strategic Management', 'Global Financial Crisis', 'Economy', 'Trading']

In this course, you’ll learn to analyze rapidly changing global trends, their effects on consumer and labor markets, financial systems, and geopolitical relationships among countries all over the world. Professor Mauro Guillen of the Wharton School has designed this course to help you understand the magnitude of influence these trends have on the business world and society. Through real-world case studies, both historical and contemporary, you’ll examine how changes within one society affect others. By the end of this course, you’ll have gained the tools to be able to identify, analyze, and adapt to global changes as they affect your business and society. In this module, we’ll begin by examining the relationship between population size and density to the geopolitical balance of power in the world. You’ll learn key aspects of demographics (such as total fertility and life expectancy at birth) and how rapid demographic growth or decline affects global economic and geopolitical dynamics. Then, you’ll evaluate the economic and political impact of urbanization and migration within societies, and the consequences of these changes in population dynamics, both within a society and between countries. By the end of this module, you’ll have a richer understanding of the impact of demographic trends on financial markets, political systems, culture, and society. 9 videos3 readings1 assignment This module was designed to give you a deeper understanding of how monetary trends and the distribution of monetary wealth affect the globe. Through close examination of global poverty and income inequality, you’ll learn critical concepts such as the Gini Coefficient and the Kuznets Curve, and how to use them as tools in analyzing the global distribution of wealth. You’ll also explore the rise of the global middle class, and how businesses are responding to the growth of middle class consumption. Finally, you’ll investigate the relationship between changing gender dynamics and wealth in the world. By the end of this module, you’ll be able to use effective analytical tools to form a clearer understanding of the effect of wealth within society and how it affects your organization. 6 videos2 readings1 assignment In this module, you’ll examine the growing issue of global economic and financial imbalances. Through relevant examples such as the European Zone crisis, you’ll gain a deeper understanding of the effects of global economic dynamics on both individual countries and their relationships with one another. You’ll explore trade bloc controversies, different types of monetary unions (such as the European Union), and how financial imbalances affect the geopolitical balance and global economy. By the end of this module, you’ll be able to better assess the consequences of economic and financial imbalances on nations, markets, and societies, and be prepared to respond to these phenomena while making decisions for your organization and society. 8 videos2 readings1 assignment In this module, you’ll explore global geopolitical landscapes and the global powers of the 21st century. Through examination of different political regimes—from autocracies to democracies—you’ll discover effective roles for states to play in society and its economy. You’ll also learn about failed states and anocracies, two importance sources of instability in the world, and how such instabilities manifest frictions and conflicts in the form of war and terrorism. Through analyzing the evolution of political regimes and failed states, you’ll learn the definition of global powers, the difference between and hard and soft power resources, and whether emerging global powers will cause dramatic changes in the existing geopolitical power structure. By the end of this module, you’ll have a deeper understanding of the trajectories of global powers, and be able to assess how the changes in geopolitical power structure will affect your business and society. 11 videos4 readings1 assignment

4 modules

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/wharton-global-trends-business

98%

Translating Basic Research into Research for Humans

Enrollment number not found

4.6

Vicki Ellingrod

University of Michigan

['healthcare', 'Research', 'Clinical Trials', 'Translational science']

The first phase of translational research — known as “T1” — is the process of moving foundational scientific discoveries into possible approaches for real-world health applications. This course focuses on innovations in basic science discovery, including drug discovery and repurposing and animal studies, that lead to new methods of diagnosis, treatment, and prevention in highly controlled settings. You’ll also discuss the role of the federal government to support and regulate translational research as it moves from basic science to human interventions. This is the second course of five in the “Translational Science” series. Welcome to Week 1 of Translating Basic Research into Research for Humans. This week you will learn how to 1) identify key differences between basic science research and clinical research, and 2) describe the role of animals in the research process. 10 readings3 assignments Welcome to Week 2 of Translating Basic Research into Research for Humans. This week you will learn how to 1) describe potential career paths for basic science researchers, 2) identify team roles for research conducted in the T1 stage of translational science, and 3) describe the types of career development awards available for translational research education. 1 video1 reading1 assignment1 discussion prompt Welcome to Week 3 of Translating Basic Research into Research for Humans. This week you will learn how to 1) explain the process of translating the outcomes of basic science research into improvements in human health, and 2) explain how T1 research is associated with T2 and T3/T4 research. 3 videos1 reading2 assignments1 discussion prompt

3 modules

Beginner level

4 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/translating-research-for-humans

Foundations of Local Large Language models

Enrollment number not found

4.6

Noah Gift

Duke University

['Retrieval Augmented Generation', 'LLMs']

By the end of this course, a learner will have a solid understanding of Large Language Models running locally. You'll be able to setup a local environment using powerful tooling to run different LLMs and interact with them both with a web interface as well as with APIs. You will explore other tools and programming languages to interact with these LLMs and using LLMs via via Hugging Face Candle and Mozilla llamafile. This week, you will learn mitigation strategies, evaluate task performance, and operationalize workflows by identifying risks in notebooks and deploying an LLM application. 21 videos16 readings4 assignments1 discussion prompt1 ungraded lab This week, you will explore different types of generative AI applications, including API-based, embedded model, and multi-model systems. You'll learn the fundamentals of building robust applications using techniques like Retrieval Augmented Generation (RAG) to improve context. Through hands-on exercises, you'll gain experience evaluating real-world performance of large language models using Elo ratings coded in Python, Rust, R, and Julia. Then you'll explore production LLM workflows using tools like skypilot, Lorax, and Ludwig for fine-tuning models like Mistral-7b. Finally, you'll gain hands-on experience testing an application locally and deploying it on the cloud. 13 videos13 readings4 assignments4 ungraded labs This week you will learn foundations of generative AI and responsible deployment strategies to benefit from the latest advancements while maintaining safety, accuracy, and oversight. By directly applying concepts through hands-on labs and peer discussions, you will gain practical experience putting AI into production. 7 videos4 readings1 assignment1 ungraded lab

3 modules

Beginner level

23 hours to complete (3 weeks at 7 hours a week)

https://www.coursera.org/learn/local-large-language-models

The Politics of Skepticism

9,560

4.5

Wiep van Bunge

Erasmus University Rotterdam

[]

This is a course about the history of Skepticism from the ancient Greeks to today, with special attention to the political ramifications of questioning man's ability to know the world and himself with any certainty. We will discuss the debates raging between Plato and the Sophists, the rise of Christianity in the Roman world, and the so-called 'Skeptical Crisis' of the Renaissance as well as Pierre Bayle's Skepticism and David Hume's. In addition the Natural Law tradition will be explored and the relationship between Skepticism and Conservatism. In the second part, we will explore the systematic relations between Skepticism and politics. What is skeptical doubt? When is doubt relevant? How does Skepticism relate to tolerance and to freedom of expression? And can it help us to solve political problems not only in a critical, but also in a creative way? We will discuss the historical and philosophical backgrounds to Plato's rejection of democracy: they will turn out to be intimately connected to his rejection of Skepticism. In addition we will present Karl Popper's highly critical assessment of Plato's 'totalitarian' alternative. 3 videos3 readings3 discussion prompts We will sketch some of the skeptical arguments against Christianity developed by Roman philosophers, but we will also see how Skepticism soon turned into an ally of Christian theology. By the end of the seventeenth century, however, Pierre Bayle turned Skepticism into a highly questionable source of support to revealed religion. 2 videos1 reading1 discussion prompt We will turn to the relevance of the early modern natural law tradition, serving as as an antidote to Skepticism. Grotius's efforts will be discussed, and we will see how during the eighteenth century David Hume pushed Skepticism to its ultimate and highly disturbing conclusion. 2 videos2 readings1 peer review1 discussion prompt We will focus on the intimate relationship between Skepticism and the origins of eighteenth-century conservatism: Edmund Burke's analysis of the French Revolution will be put into perspective. But we will also pay attention to the way in which Skepticism came to serve as a progressive and liberating force, for instance in its critique of biblical authority. 2 videos1 reading3 discussion prompts We will discuss the specific and influential way in which Rene Descartes defined the problems of Skepticism, not only the question whether knowledge is possible, but also the question whether the external world and all the objects and properties in it, really exist. But instead of considering Descartes’ own rationalist response, we will then move on to consider the alternative responses of John Locke, Charles Peirce, and John Austin. 4 videos3 readings1 peer review3 discussion prompts We will address the question whether, in what sense, and to what extent, Skepticism provides good reasons to do away with prejudices and to adopt religious tolerance. First we will distinguish carefully between belief and truth. Then we will consider the attitude of the positive Skeptic: truth exists, but all our beliefs are and remain prejudices. Finally, we will investigate the role that this epistemic predicament plays in arguments for toleration. 4 videos1 reading2 peer reviews1 discussion prompt We will consider Mill’s argument from “the marketplace of ideas” for both freedom of opinion and freedom of expression of opinion. If ideas can compete freely, truth will emerge. Just as a free market is self correcting, speech should not be restricted, because in a free and open encounter, the true and sound ideas will survive, and the false and unsound ideas will vanquish. We will identify the Skeptical assumptions of Mill’s argument and we will evaluate it. 3 videos2 readings3 discussion prompts What is the benefit of the doubt? What good can come from the confrontation with alternative views or rival opinions? First we will learn that one of the most effective ways to boost the carefulness of problem solving processes is by pushing on alternatives. Then we will consider the role of organized doubt in meetings, deliberations or political negotiations; to find a solution or to reach an agreement, the participants should deliberately adopt the perspective of the others and make their rival opinions relevant. 3 videos1 reading1 peer review1 discussion prompt

8 modules

Intermediate level

13 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/erasmus-philosophy-skepticism

Data Pipelines with TensorFlow Data Services

26,181

4.5

Laurence Moroney

DeepLearning.AI

['Tensorflow', 'Extraction, Transformation And Loading (ETL)', 'Artificial Neural Network', 'TensorFlow Datasets', 'Data Pipelines']

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this third course, you will: - Perform streamlined ETL tasks using TensorFlow Data Services - Load different datasets and custom feature vectors using TensorFlow Hub and TensorFlow Data Services APIs - Create and use pre-built pipelines for generating highly reproducible I/O pipelines for any dataset - Optimize data pipelines that become a bottleneck in the training process - Publish your own datasets to the TensorFlow Hub library and share standardized data with researchers and developers around the world This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization. This week, you will be able to perform efficient ETL tasks using Tensorflow Data Services APIs 10 videos6 readings1 assignment1 programming assignment In this week, you will construct train/validation/test splits of any dataset - either custom or present in TensorFlow hub dataset library - using Splits API 7 videos4 readings1 assignment1 programming assignment This week you will extend your knowledge of data pipelines 21 videos6 readings1 assignment1 programming assignment You'll learn how to handle your data input to avoid bottlenecks, race conditions and more! 22 videos4 readings2 assignments1 programming assignment1 ungraded lab

4 modules

Intermediate level

https://www.coursera.org/learn/data-pipelines-tensorflow

93%

Foundations of Teaching for Learning: Being a Professional

16,218

4.8

Professor Stephen Dinham

Commonwealth Education Trust

[]

The Foundations of Teaching for Learning programme is for anyone who is teaching, or who would like to teach, in any subject and any context - be it at school, at home or in the workplace. With dynamic lessons taught by established and respected professionals from across the Commonwealth, this eight course programme will see you develop and strengthen your skills in teaching, professionalism, assessment, and more. As you carry on through the programme, you will find yourself strengthening not only your skills, but your connection with colleagues across the globe. A professional development opportunity not to be missed. This course will emphasise what you can do to act professionally. This includes developing your own philosophy of teaching and making sure that you continue to improve your knowledge and skills. It also considers what it means to be part of a community of professionals, working with others to improve what happens in your school, community and profession. Enhance your course by joining the Commonwealth teaching community on our website, Facebook and Twitter. This week we will consider what it means to be a teaching professional. We will ask you to think about your own beliefs about teaching and education in light of the expectations that society has for teachers. We will also reflect on the importance of the teacher and the school to the achievement and development of each child. At the end of this week you will have engaged in a personal reflective process to assist you to think about teaching, what is expected of teachers, and what teaching entails. This is something that we will continue to examine and develop in the remaining parts of the course. 4 videos5 readings1 assignment Now that we have started to consider teaching as a profession, we will begin to reflect on professional behaviour and ethics in more detail. We will look at the various means that are used to ensure that agreed professional standards are met. The topics covered are: professional ethics; professional distance; the features and uses of professional standards for teachers; the formal procedures around the accreditation of teacher education courses, teacher registration, certification, appraisal, and performance management; and teacher behaviour and codes of conduct. You'll also be encouraged to reflect upon what happens in your particular school or context and how this compares with these more general expectations for teachers and schools held by society and in various parts of the world. 5 videos1 reading1 assignment1 peer review This week we will consider the roles that statute law, judge-made law and case law play in teaching and schooling. We will examine the concept of duty of care, the care that is owed to students by their teachers and school, and its implications for your professional practice. We will also consider the rights and responsibilities of students, parents, caregivers, and teachers. What is and is not reasonable for parents and students to ask for in relation to schooling? You will be encouraged to reflect upon your professional behaviour as a teacher and to consider how these issues might impact upon current practices in your classroom and in your school. You will also be encouraged to discuss these issues with your principal, colleagues, and other course participants. 5 videos1 reading1 assignment Building on the last three weeks, we will now consider the importance of developing a personal philosophy of teaching. We will look at the impact that teaching and schools can have on student learning and development, and on student lives more generally. We will examine research that demonstrates how and why views on the impact of teaching have changed over time, and consider some of the big challenges we face in ensuring that every student has access to quality teaching. We will also examine the concept of socio-economic status and its influence on student achievement. An important issue we will emphasize this week is the need for all teaching strategies and approaches to have a strong evidence base grounded in research. We will utilize effect size research to consider those strategies which have lesser and greater effects on student learning. We encourage you to reflect upon your values, beliefs, and current philosophy of teaching. 5 videos1 reading1 assignment1 peer review Professional learning has a powerful role in improving teaching and learning. We will consider its impact by looking at research that demonstrates its influence on teacher quality and student outcomes. This will be complemented with case studies of professional learning communities. Some of the most effective types of professional learning are collaborative forms, which are increasingly being utilized through approaches such as action learning. We will consider these collaborative forms, and also look at the use of cycles of enquiry as a means of enhancing the professional learning of teachers. We will also examine the importance and influence of leadership of teachers’ professional learning. In particular, we will look at the various leadership behaviours, actions, and strategies which have been found to be most effective, including instructional leadership. In completing this week’s work you will be encouraged to reflect upon your own professional learning and the professional learning available to you and your colleagues. You will also consider the benefits that arise from teachers working together to enhance their professional learning in order to address issues or problems in their school. 4 videos1 reading1 assignment We will conclude this course by examining the need for a teacher to continue to develop as a professional. It is important for teachers to periodically reflect on their teaching, engage in self-assessment, and set goals for future professional learning and development. We will explore important aspects of professional learning such as personal reflection and collaborative reflection, feedback, and observation tools such as rubrics. We encourage you to consider your own professional development needs and develop a personal professional development plan for the next few years. We will conclude this course by asking you to sum up what you have learnt, what might have changed your thinking and how you might change any aspects of your practice in the future. 5 videos1 reading1 assignment

6 modules

12 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/professional-teacher

98%

Field BIM

Enrollment number not found

Rating not found

Subject Matter Expert

L&T EduTech

['Proficiency in 4D BIM for construction scheduling and project visualization', 'Field BIM expertise for safety management and onsite hazard mitigation']

In this course, you will understand the practical applications of Building Information Modeling (BIM) with reference to field applications, 4D BIM, and 5D BIM. "Documentation & Common Data Environment (CDE)" covers ISO 19650 standards, including networking (LAN, WAN, cloud computing), CDE concepts, file naming conventions, BIM team roles, and RFI and review processes. "Introduction to 4D BIM/Field BIM" addresses construction scheduling, Gantt charts, and integrates 3D BIM models into 4D modeling with practical demonstrations and workflows for comparing planned versus actual schedules and generating reports. "Application of Field BIM/4D" focuses on collaboration, site utilization planning, 3D control and planning, safety protocols using BIM and CDEs, digital fabrication, scan-to-BIM processes, existing condition modeling, and as-built record models. "Introduction to 5D, AIM" introduces 5D BIM and Asset Information Modeling (AIM), covering quantity takeoff methods, cost breakdowns, COBie, space attributes, and facility management integration for efficient project delivery and asset management. "Beyond BIM - Emerging Trends" explores industrial construction techniques, IoT, Big Data, data analytics, AI, ML applications, and Digital Twin technology, expanding your understanding of cutting-edge BIM applications and trends. Target Learners: • Undergraduate students of Civil Engineering, Electrical Engineering & Mechanical Engineering • Post-Graduate Students in Construction Management. • Practicing Engineers involved in BIM in construction. • Faculties in Civil, Electrical & Mechanical • Industry professionals working in construction and BIM • Project managers and consultants in construction and infrastructure development sectors. Prerequisites: • Basic knowledge of Construction • Familiarity with Construction Management • Understanding of Construction Practices Hardware Prerequisites: Minimum Entry level configuration as follows: 1. Operating System: 64-bit Microsoft® Windows® 10 or Windows 11 2. CPU Type: Intel® i-Series, Xeon®, AMD® Ryzen, Ryzen Threadripper PRO. 2.5GHz or Higher. 3. Memory: 8 GB RAM 4. Video Display: 1280 x 1024 with true color (Minimum) 5. Disk Space: 30GB free disk space Software Prerequisites: • Install Revit 2020 and higher versions for this course The module "Documentation & Common Data Environment (CDE)" teaches how to manage construction project information effectively. Topics include creating 2D drawings from BIM models, understanding computer network types and cloud computing, and using CDE for information sharing. You'll also learn about file naming conventions, roles and responsibilities in projects, and the Request For Information (RFI) process. This module equips you with essential skills for organized project documentation and efficient data management. 14 videos1 assignment1 discussion prompt The module "Introduction to 4D / Field BIM" provides a comprehensive introduction to integrating time and scheduling into Building Information Modeling (BIM) for construction projects. Participants will learn about construction sequencing and project scheduling, including the use and limitations of Gantt charts. The course explores 4D BIM, covering its modeling principles and demonstrating its application through project demos. Participants will gain insights into 4D BIM workflows, comparing planned schedules with actual progress, and generating essential reports for project management and evaluation purposes. 11 videos1 assignment1 discussion prompt The module "Application of Field BIM / 4D - Part 1" focuses on practical uses of Building Information Modeling (BIM) and 4D technology in construction projects. Participants will delve into 3D coordination and visual communications across multiple parts, learning how to enhance project clarity and collaboration. The module covers site utilization planning techniques to optimize construction efficiency, supported by detailed construction analysis spanning various aspects and phases. Participants will also explore 3D control and planning methodologies, equipping them with skills to effectively manage and coordinate project activities using advanced BIM tools and strategies 11 videos1 assignment1 discussion prompt The module "Application of Field BIM / 4D - Part 2" delves into advanced applications of Building Information Modeling (BIM) and 4D technology in construction management. Participants will explore BIM's role in enhancing safety practices, covering topics such as fall prevention, formwork safety, and electrical hazards. They will also learn about disaster and risk analysis using digital tools, and delve into digital fabrication techniques for construction efficiency. Additionally, the module covers methods for modeling existing conditions, converting scans to BIM models, and creating accurate as-built records, providing a comprehensive understanding of advanced BIM applications in construction projects. 21 videos1 assignment1 discussion prompt The module "Introduction to 5D, AIM" introduces participants to the integration of cost estimation and asset information management (AIM) within Building Information Modeling (BIM). It covers fundamental concepts of 5D BIM, focusing on quantity take-off methodologies using various units of measurement and cost analysis techniques. Participants will gain hands-on experience through instructor-led demonstrations and exercises in quantity take-off for different building elements. The module also explores Level of Development (LOD) standards and their role in accurate quantity estimation. Additionally, it addresses cost control strategies through 5D BIM and discusses asset information modeling, COBie standards, space attributes, and information exchange for efficient facility management. 20 videos1 assignment1 discussion prompt The module "Beyond BIM, Emerging Trends" explores advanced applications and future directions in the field of Building Information Modeling (BIM). Participants will delve into the industrialization of construction through BIM, focusing on Design for Manufacture and Assembly (DfMA) principles across multiple parts. They will also learn about integrating Internet of Things (IoT) technology with BIM, harnessing big data for informed decision-making, and applying data analytics through AI and machine learning in construction projects. The module introduces concepts of smart infrastructure and the development of digital twins for connected infrastructure, emphasizing their benefits, requirements for success, and diverse applications across industries, particularly in smart cities and national contexts. 13 videos1 assignment1 discussion prompt

6 modules

Intermediate level

14 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/field-bim

Forest Carbon Credits and Initiatives

Enrollment number not found

4.8

Daniel Ortega-Pacheco

Michigan State University

[]

"Forest Carbon Credits and Initiatives" is a comprehensive course designed to equip participants with the knowledge and skills needed to navigate the complex world of forest carbon projects. Through four informative presentations covering topics such as project design, quantification, and market access, participants will gain a deep understanding of forest carbon initiatives. By the end of the course, learners will be able to apply broad science and policy concepts to project-scale thinking, design high-integrity forest carbon projects with feasibility and financial considerations in mind, quantify carbon benefits, and effectively monitor and report project outcomes. With relevant science-based inputs, this course offers invaluable insights into the intricacies of forest carbon initiatives, empowering participants to make robust, quantifiable contributions to carbon sequestration efforts attractive for investment. Learning outcomes: 1. Apply broad scientific and policy principles to enhance project-scale analysis in forest carbon projects. 2. Demonstrate the ability to outline the process and key components of designing a forest carbon project 3. Analyze how activities create carbon credits or other carbon benefits in forest carbon projects 4. Utilize methods to calculate benefits by creating project baselines and measuring additionality 5. Utilize guidance effectively for forest carbon project development 6. Describe the role of monitoring, reporting, and verification in forest carbon projects "Forest Carbon Credits and Initiatives" is a comprehensive course designed to equip participants with the knowledge and skills needed to navigate the complex world of forest carbon projects. Through four informative presentations covering topics such as project design, quantification, and market access, participants will gain a deep understanding of forest carbon initiatives. By the end of the course, learners will be able to apply broad science and policy concepts to project-scale thinking, design high-integrity forest carbon projects with feasibility and financial considerations in mind, quantify carbon benefits, and effectively monitor and report project outcomes. With relevant science-based inputs, this course offers invaluable insights into the intricacies of forest carbon initiatives, empowering participants to make robust, quantifiable contributions to carbon sequestration efforts attractive for investment. 13 videos9 readings4 assignments

1 module

Intermediate level

6 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/forest-carbon-credits-and-initiatives

International Law in Action: A Guide to the International Courts and Tribunals in The Hague

56,548

4.8

Larissa van den Herik

Universiteit Leiden

['Justice', 'Criminal Justice', 'International Law', 'Arbitration']

International Law in Action explains the functions of each international court and tribunal present in The Hague, and it looks at how these institutions address contemporary problems. On the basis of selected cases, and through interviews with judges and lawyers, you will explore the role of these courts and tribunals and their potential to contribute to global justice. The first module of the course will investigate how judicial settlement is different from other more political forms of dispute settlement, such as negotiation and mediation. It offers a brief historical overview and introduces the judicial and arbitral bodies based in The Hague. In the remaining modules you will learn about the functions of these courts and tribunals, and some of the challenges and prospects that they face. Three cross-cutting themes tie together all of these modules: (i) The interaction between law and politics; (ii) The continuing role of State consent; and (iii) The ability of international courts and tribunals to protect the public interest and global values. This course offers you an opportunity to gain a better insight into the functions and features of the courts and tribunals present in The Hague. You will gain a familiarity with each court or tribunal. You will develop realistic expectations of their capacity to address contemporary problems and an awareness of their limitations. You will also be able to discuss some of their most prominent cases. If you would like to have a better understanding of international law in action in The Hague, this is definitely the course for you! This course is free to join and to participate in. There is the possibility to get a verified certificate for the course, which is a paid option. If you want a certificate, but are unable to pay for it, you can request financial aid via Coursera Welcome to this first week in which we will enter the world of the international judiciary with you. We will discuss the evolution of international dispute settlement in our international legal order. The leading question is: why did people start thinking about creating international courts? We will also introduce the community of international courts present in The Hague today. 8 videos3 readings1 assignment1 discussion prompt1 plugin This week we are going to explore the principle judicial organ of the United Nations—the International Court of Justice. This Court has dual functions as an institution that settles disputes between States, and as an advice giver within the UN system. We will explore the limitations that the Court faces in its fulfilment of these functions as well as its potential as an institution, particularly in the context of disputes involving the protection of the environment. From this week onwards, you will also be able to start working on the peer assignment. All relevant information with regard to the peer assignment can be find below. We look forward to reading how you view the future of the international courts and tribunals in The Hague! 5 videos2 readings1 assignment1 peer review This week, we will explore the world of international arbitration. More specifically, we will focus on the Permanent court of arbitration, inter-state arbitration and investor-state arbitration. Through our videos, you will discover the history and characteristics of arbitration and you will understand how its functioning is impacted by the dynamics at play within the international and domestic societies. You will also come to realize the importance of public interests in the disputes settled through arbitration and you will learn how they are taken into account in international arbitration. 5 videos2 readings1 assignment This week examines a relatively new type of international courts, namely international criminal courts, with a focus on the ICC. We will discuss ongoing cases and debates, including sensitive issues such as the prosecution of sitting Heads of States. We will also inquire whether the international community is in need of a new dedicated international terrorism tribunal. 5 videos3 readings1 assignment This week, we will directly focus on the three course themes that have structured our discussions in the previous modules: law and politics, state consent and global values. For each of these themes, the videos of this module will give you the opportunity to synthetize the knowledge that you have acquired over the course and to compare the various courts and tribunals that have been analyzed through the lenses of the course themes. The videos in this module will also offer you some concluding observations and insights which will stimulate you to continue to reflect on these three themes and the international courts in The Hague more generally. This week, you will also take the final exam of this course; good luck on this! 3 videos1 assignment

5 modules

17 hours to complete (3 weeks at 5 hours a week)

https://www.coursera.org/learn/international-law-in-action

98%

Hands On Clinical Reporting Using R

Enrollment number not found

Rating not found

Adrian Chan

Genentech

['Health Data Standards', 'Data Science', 'Drug Development', 'Statistical Programming', 'R (Programming Language)']

The aim of this course is to introduce learners to open-source R packages that can be used to perform clinical data reporting tasks. The main emphasis of the course will be the clinical data flow from raw data (both CRF and non-CRF) to SDTM to ADaM to final outputs. While several open-source tools to complete these tasks will be introduced, the objective of this course is not to become an expert in any of these tools but rather to introduce participants to the broader concepts behind these tasks. That way the tools simply serve as an example of how the underlying concepts could be put into action in code. In this module, we will introduce this course and provide a brief outline of what you will be learning. We will provide context on clinical reporting in R and the motivation for the recent shift in industry trends for the support of open-source tools. We will describe the challenges in current statistical programming practices and the benefits of applying open-source tools, as well as provide additional resources to learn more. 1 video1 reading1 discussion prompt In this module, we will cover several important topics related to Phase 3 clinical trials and clinical data. We will start with a brief introduction to Phase 3 trials and discuss the type of data that is collected during these trials. Following that, we will provide an overview of two data models that are commonly used to handle clinical trial data, namely SDTM and ADaM. Next, we will delve into the process of preparing a data submission package for health authorities, with a specific focus on the Food and Drug Administration (FDA) in the United States. We will explore the requirements and guidelines for submitting clinical trial data to the FDA. Lastly, we will wrap up this module by summarizing our understanding of the clinical data flow, highlighting the key points we have covered throughout the course. 6 videos1 reading1 assignment In this module, we will provide an introduction to Study Data Tabulation Model (or SDTM) by giving context and highlighting the importance of such data models on clinical trials. We will explore different SDTM data mappings for CRF and non-CRF data. Finally, we will provide an outlook on the programming of SDTMs on R. 4 videos1 assignment In this module, we explore what are analysis data model (ADaM) datasets, the 3 structures of ADaM, and how to create ADaM in R using Pharmaverse packages. 16 videos4 readings4 assignments In this module, we explore ADaM and R using Pharmaverse packages, one step further. We will focus on the ADaM Occurence Data Structure known as OCCDS using the example Analysis Dataset Adverse Events (ADAE). We'll go over what an OCCDS is, Adverse Events, and how to create ADAE using {admiral} and other R Pharmaverse packages. 36 videos2 readings8 assignments In this module, we introduce the concepts of generating outputs used for regulatory purposes, and the NEST packages in particular. We show how you can use NEST effectively to create and customize your tables, listings, and graphs (TLGs) during clinical reporting and introduce the TLG-Catalog to aid output generation using our packages. We will explain the benefits of open-source and the industry collaboration efforts on clinical reporting. 36 videos2 assignments In this module we will discuss benefits of of using interactive data displays for clinical reporting. We will introduce the teal family of R packages and become familiar with the key features this framework offers. Finally, we will learn how to develop a production level interactive application using teal modules for data review, safety and efficacy analyses. 26 videos1 reading4 assignments In this final module we will briefly review the course and suggest next steps in your learning journey. 1 video

8 modules

Intermediate level

20 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/hands-on-clinical-reporting-using-r

Data-driven Astronomy

37,219

4.8

Tara Murphy

The University of Sydney

['Python Programming', 'Machine Learning', 'SQL', 'Applied Machine Learning']

Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools. The focus is on practical skills - all the activities will be done in Python 3, a modern programming language used throughout astronomy. Regardless of whether you’re already a scientist, studying to become one, or just interested in how modern astronomy works ‘under the bonnet’, this course will help you explore astronomy: from planets, to pulsars to black holes. Course outline: Week 1: Thinking about data - Principles of computational thinking - Discovering pulsars in radio images Week 2: Big data makes things slow - How to work out the time complexity of algorithms - Exploring the black holes at the centres of massive galaxies Week 3: Querying data using SQL - How to use databases to analyse your data - Investigating exoplanets in other solar systems Week 4: Managing your data - How to set up databases to manage your data - Exploring the lifecycle of stars in our Galaxy Week 5: Learning from data: regression - Using machine learning tools to investigate your data - Calculating the redshifts of distant galaxies Week 6: Learning from data: classification - Using machine learning tools to classify your data - Investigating different types of galaxies Each week will also have an interview with a data-driven astronomy expert. Note that some knowledge of Python is assumed, including variables, control structures, data structures, functions, and working with files. This module introduces the idea of computational thinking, and how big data can make simple problems quite challenging to solve. We use the example of calculating the median and mean stack of a set of radio astronomy images to illustrate some of the issues you encounter when working with large datasets. 8 videos1 reading1 assignment3 app items2 discussion prompts In this module we explore the idea of scaling your code. Some algorithms scale well as your dataset increases, but others become impossibly slow. We look at some of the reason for this, and use the example of cross-matching astronomical catalogues to demonstrate what kind of improvements you can make. 7 videos1 assignment2 app items1 discussion prompt Most large astronomy projects use databases to manage their data. In this module we introduce SQL - the language most commonly used to query databases. We use SQL to query the NASA Exoplanet database and investigate the habitability of planets in other solar systems. 7 videos1 assignment2 app items1 discussion prompt This module introduces the basic principles of setting up databases. We look at how to set up new tables, and then how to combine Python and SQL to get the best out of both approaches. We use these tools to explore the life of stars in a stellar cluster. 6 videos1 assignment2 app items This module introduces the idea of machine learning. We look at standard methodology for running machine learning experiments, and then apply this to calculating redshifts of distant galaxies using decision trees for regression. 7 videos1 assignment2 app items In this final module we explore the limitations of decision tree classifiers. We then look at ensemble classifiers, using the random forest algorithm to classify images of galaxies into different types. 7 videos1 reading1 assignment1 app item1 discussion prompt

6 modules

Intermediate level

https://www.coursera.org/learn/data-driven-astronomy

98%

Managing Storage and Networking

Enrollment number not found

Rating not found

Skill-Up EdTech Team

SkillUp EdTech

['Windows Server Storage Replica', 'Domain Name System (DNS)', 'IP Address Management', 'Dynamic Host Configuration Protocol (DHCP)', 'Windows Server File Servers']

This course is a part of the AZ-800 Exam Prep specialization. It equips you with the skills and knowledge to understand the implementation of domain name system and Dynamic Host Configuration Protocol (DHCP). The course focuses on configuring and managing virtual private network (VPN), public key infrastructure (PKI), and Web application proxy (WAP). Additionally, it also helps you gain insights into various tools and services such as IP Address Management (IPAM), Azure ExpressRoute, Azure File Sync, Windows Admin Center, and PowerShell. By the end of this course, you will be able to: • Describe how to implement on-premises and hybrid name resolution. • Explain how to manage IP addressing in on-premises and hybrid scenarios. • Describe the ways to implement on-premises and hybrid network connectivity. • Describe how to configure and manage Azure File Sync, Windows Server file shares, and Windows Server storage. This course is best suited for professionals who have experience working with Windows Server operating systems and implementing and managing on-premises and hybrid solutions. In this module, you will learn about domain name system (DNS) and explore DNS servers, zones, and resolvers. You will also learn about DNS forwarding and creating and managing DNS zones in Azure, and implementing DNS with Azure IaaS virtual machines and troubleshooting DNS. Next, you will learn how to use dynamic host configuration protocol (DHCP) to simplify and centralize the allocation of IP configurations, configuring DHCP roles and DHCP scopes, and the options for making DHCP highly available. In addition, you will explore IP Address Management (IPAM) and learn about deploying, administering, and configuring IPAM and implementing Windows Server IaaS VM IP addressing and routing. Further, you will gain insight into enabling remote access and publishing your organization’s applications and websites using Windows Server web application proxy (WAP). Finally, you will learn about using network policy server (NPS) to create and enforce network access policies, virtual private network (VPN), and public key infrastructure (PKI). 12 videos5 readings5 assignments1 discussion prompt In this module, you will learn about the Windows Server file system and server message block (SMB) protocol. Next, the module delves into storage virtualization using Storage Spaces and the process of implementing Storage Spaces Direct. Further, you will learn about the components of Data Deduplication and how to use Data Deduplication to identify and remove duplications within data without compromising data integrity. Additionally, you will learn how to connect data storage services using Internet Small Computer System Interface (iSCSI) and its architectural components. You will also explore the primary considerations for implementing iSCSI and learn about installing and configuring iSCSI Target on Windows Server. Next, you will gain insight into implementing network-level redundancy for iSCSI storage. Then, you will learn how to use Storage Replica for high availability or disaster recovery purposes and the prerequisites to use Storage Replica. Finally, you will also learn about configuring Azure file share permissions and connecting to an Azure file share, the benefits of Azure File Sync, and the various ways of implementing Azure File Sync. 7 videos4 readings4 assignments1 discussion prompt In this module, you will attempt a final graded project. You will be provided scenarios that mimic real-life situations that Windows Server Hybrid administrators commonly face. You will attempt a set of multiple-choice questions where you will make several decisions on managing storage and networking. 1 video4 readings2 assignments

3 modules

Intermediate level

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/managing-storage-and-networking

Amazon DynamoDB Primer

Enrollment number not found

Rating not found

AWS Instructor

Amazon Web Services

[]

This course introduces you to Amazon DynamoDB, the AWS service that provides a non-relational, key-value/wide-column and document database that delivers single-digit millisecond performance at any scale. It's a fully managed database with built-in security, backup and restore, and in-memory caching for internet-scale applications. This course introduces you to the service and its core features and capabilities. You will see how this service integrates with other AWS services and be introduced to important terminology and technology concepts. The course includes a demonstration of DynamoDB and provides an assessment to help you gauge how well you understood the concepts covered. 1 reading1 assignment

1 module

1 hour to complete

https://www.coursera.org/learn/aws-amazon-dynamodb-service-primer

Sharpened Visions: A Poetry Workshop

140,133

4.8

Douglas Kearney

California Institute of the Arts

['Music', 'Poetry Writing', 'Art', 'Creativity']

Why just write poems when you can write better ones? This course is built on the notion that the most exciting writing begins after the first draft. It is specifically for folks who believe that writing poems just to express oneself is like using the Internet just for email. After all, poetry can change the way you and your readers think of the world and its inhabitants; it can break new ground for language; turn a blank sheet of paper into a teeming concert of voices and music. Though any of us may have the potential to make that happen, having an understanding of how several tools of poetic composition can be used (and audaciously “mis-used”) gives you more ways to try (and if we do this right, we might surprise ourselves most of all). We'll cover key poetic terms and devices by studying poems by a handful of modern and contemporary poets and then get a chance to try our own hand at writing new poem drafts from a select number of prompts. Throughout the course you will have the opportunity to workshop your poem drafts and get feedback on your work, working towards a more polished poem. Poetry orchestrates its music, arguments, tensions, and environment via arrangements of language into lines and stanzas. This week we’ll address the importance of the line break, perhaps the most conspicuous, signature tool in the poet’s toolkit. Do you break more for sound, for sense, visual effect, shape, a mix of several? We’ll participate in several line break exercises and remix found poems. Also: prepare for your first quiz and a fun first writing prompt. 8 videos6 readings1 assignment Abstraction doesn’t mean “deep,” and image doesn’t mean “picture.” Images are typically understood as anything you can literally touch/taste/see/hear/smell, and abstractions are those things for which we have symbols (a clock for “time,” a heart for “love”) but no image. Abstractions and images may fill our poems, but how can you tell what’s what, and how can you leverage them to compelling ends? This week we’ll work at finding new symbols to replace clichéd ones for abstractions and we’ll work at crafting images that do more than add furniture to a poem, but create systems of relationships, moods, and even style. 5 videos1 reading1 assignment Most of us think of simile and metaphor, personification and other similar figures of speech as being about similarities between objects, concepts, and entities. But the juice in these formulas comes from how different the two things being compared seem to be. This is why writing: “the shark moved like a fish” is, alone, a lot less interesting than saying “the shark moved like a squad car.” We’ll talk about how playing with difference via juxtaposition can create a range of poetic effects. Then you’ll write a poem built of one robustly developed or several contrasting juxtapositions. We'll end this module with yet another quiz, and our first poetry workshop -- facilitated through a peer assessed assignment. 5 videos1 reading1 assignment1 peer review This week we’ll explore how rhyme leverages patterns of sameness and how we can estrange similarity for compelling poetic effects. We’ll check out examples of “rhyme”—sonic, visual, conceptual—from outside of poetry too. 5 videos1 reading1 assignment All spoken language has rhythm, the trick is working the rhythm in such a way that drives your poem toward the effects you’re after. Maybe you want a fluid, seductive, propulsive rhythm. Perhaps something that halts or stutters. We’ll use traditional western concepts of meter as a means to open the door to this discussion, but we may leave them at the door upon entry. 6 videos1 reading1 assignment1 peer review When you revise a poem, you are not trying to dull the emotional flash of your first draft. You must, instead, intensify it. In this, our final week, we’ll discuss the difference between revision and editing, the art of reading your own work critically, and the beauty of drafts. For your final peer review, you’ll turn in (and in turn, assess) a revision of one of the poems from the preceding 5 modules. 11 videos1 reading1 peer review

6 modules

Beginner level

https://www.coursera.org/learn/poetry-workshop

98%

Bending the Curve: Climate Change Solutions 2

Enrollment number not found

Rating not found

Veerabhadran Ramanathan, PhD

University of California San Diego

[]

Climate change solutions must be approached from the local, regional, national and international scope. In the second course, we look at California as a case study, and analyze energy issues, power generation, and transportation. We also expand our view and investigate a variety of international efforts. 11 videos3 readings1 peer review1 discussion prompt 8 videos3 readings1 peer review1 discussion prompt 6 videos3 readings1 peer review1 discussion prompt 5 videos3 readings1 peer review1 discussion prompt 4 videos3 readings1 peer review1 discussion prompt

5 modules

Beginner level

13 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/bendingthecurve-2

Build Regression, Classification, and Clustering Models

2,720

4.3

Anastas Stoyanovsky

CertNexus

['Linear Regression', 'Machine Learning (ML) Algorithms', 'Machine Learning', 'classification', 'clustering']

In most cases, the ultimate goal of a machine learning project is to produce a model. Models make decisions, predictions—anything that can help the business understand itself, its customers, and its environment better than a human could. Models are constructed using algorithms, and in the world of machine learning, there are many different algorithms to choose from. You need to know how to select the best algorithm for a given job, and how to use that algorithm to produce a working model that provides value to the business. This third course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate introduces you to some of the major machine learning algorithms that are used to solve the two most common supervised problems: regression and classification, and one of the most common unsupervised problems: clustering. You'll build multiple models to address each of these problems using the machine learning workflow you learned about in the previous course. Ultimately, this course begins a technical exploration of the various machine learning algorithms and how they can be used to build problem-solving models. In the preceding course, you went through the overall machine learning workflow from start to finish. Now it's time to start digging into the algorithms that make up machine learning. This will help you select the most appropriate algorithm(s) for your own purposes, as well as how best to apply them to solve a problem. A good place to start is with simple linear regression. 13 videos3 readings1 assignment1 discussion prompt1 ungraded lab The simple model you created earlier works well in many cases, but that doesn't mean it's the optimal approach. Linear regression can be enhanced by the process of regularization, which will often improve the skill of your machine learning model. In addition, an iterative approach to regression can take over where the closed-form solution falls short. In this module, you'll apply both techniques. 8 videos3 readings1 assignment1 discussion prompt2 ungraded labs Besides linear regression, the other major type of supervised machine learning outcome is classification. To begin with, you'll train some binary classification models using a few different algorithms. Then, you'll train a model to handle cases in which there are multiple ways to classify a data example. Each algorithm may be ideal for solving a certain type of classification problem, so you need to be aware of how they differ. 9 videos3 readings1 assignment1 discussion prompt2 ungraded labs It's not enough to just train a model you think is best, and then call it a day. Unless you're using a very simple dataset or you get lucky, the default parameters aren't going to give you the best possible model for solving the problem. So, in this module, you'll evaluate your classification models to see how they're performing, then you'll attempt to improve their skill. 16 videos3 readings1 assignment1 discussion prompt2 ungraded labs You've built models to tackle linear regression problems and classification problems. One of the other major machine learning tasks that you might want to engage in is clustering, a form of unsupervised learning. In this module, you'll see how a machine learning model can help you identify useful patterns even when the data you have to work with isn't labeled. 9 videos4 readings1 assignment1 discussion prompt2 ungraded labs You'll work on a project in which you'll apply your knowledge of the material in this course to practical scenarios. 1 peer review1 ungraded lab

6 modules

Intermediate level

20 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/build-regression-classification-clustering-models

Virtualization, Docker, and Kubernetes for Data Engineering

3,413

3.8

Noah Gift

Duke University

['Cloud-Based Integration', 'containerization', 'virtualization', 'Kubernetes', 'Docker (Software)']

Throughout this course, you'll explore virtualization, containerization, and Kubernetes, mastering the very tools that power data engineering in the industry. Each week presents a new set of tools and platforms that are indispensable in data engineering. From mastering Docker and Kubernetes to exploring advanced topics such as AI-driven coding with GitHub Copilot, efficient container image management with Azure and Amazon Elastic Container Registries, and Site Reliability Engineering (SRE) practices, you'll go beyond the basics and acquire the expertise needed to thrive in the dynamic and data-driven landscape of advanced data engineering. Whether you're a current student looking to expand your skills or a working professional aiming to take your expertise to the next level, this course is tailored to equip you with the advanced knowledge and hands-on experience necessary for success. In this module, you will learn about the fundamentals of virtualization, exploring its various aspects such as hardware utilization and scaling applications. You will start by understanding what virtualization is and delve into the concept of virtual machines. Through the introduction of Virtual Box and a hands-on demo, you will gain a practical understanding of how virtual machines work and their benefits. Additionally, you will explore container concepts, focusing on Docker as a key containerization tool. Through an introduction to Docker and its architecture, you will learn how to scale applications using containers, providing a comprehensive overview of virtualization and its practical applications. To apply your newfound knowledge, you will be assessed through a series of hands-on exercises involving the creation and management of virtual machines and containers, demonstrating your ability to effectively utilize virtualization technologies. 8 videos8 readings8 assignments2 discussion prompts In this module, you will learn how to effectively work with the Docker client, create volumes, and run databases in containers, gaining hands-on experience in managing containerized applications. You will also explore how to use the Docker command line for tasks such as building images and working with Dockerfiles, enabling you to package your software efficiently. You'll get a chance to study real-life Dockerfile examples and consult the Dockerfile reference for best practices. Furthermore, you will dive into orchestration with Docker Compose, learning how to manage multi-container applications using Compose. As an extension to this, you will be introduced to Airflow, a workflow management platform, and learn how to integrate it with Docker Compose for a seamless automation experience. 9 videos6 readings8 assignments In this module, you will embark on a comprehensive journey into Kubernetes, the cornerstone of modern container orchestration. You'll begin by grasping Kubernetes key concepts, cluster architecture, and service deployments. The advantages of cloud development environments, exemplified by GitHub Codespaces, will become more clear as you explore GitHub's ecosystem and harness AI-driven coding with GitHub Copilot and OpenAI Codewhisper. The module culminates in hands-on experience as you deploy Kubernetes using Minikube within GitHub Codespaces. Gain a solid foundation in Kubernetes essentials and the power of cloud-based development, setting the stage for successful containerized application management and collaborative coding in the modern era. 14 videos7 readings8 assignments This module immerses you in the hands-on world of Kubernetes solutions. You'll start by mastering containerization, constructing FastAPI microservices, and deploying containerized applications using Azure Container Registry and Amazon Elastic Container Registry. Next, explore options for cloud-based container orchestration, featuring Google Cloud Run and AWS Copilot, and expand your coding horizons in AWS Cloud9. Finally, address critical production issues as you delve into load testing, monitoring systems, the SRE mindset for MLOps, and the art of operationalizing microservices. This module offers a comprehensive toolkit to navigate Kubernetes in real-world scenarios, combining theory and practice to prepare you for Kubernetes success. 13 videos7 readings14 assignments

4 modules

Advanced level

27 hours to complete (3 weeks at 9 hours a week)

https://www.coursera.org/learn/virtualization-docker-kubernetes-data-engineering

Immunology: Adaptive Immune System

3,498

4.7

Malgorzata (Maggie) Trela

Imperial College London

['Tumour immunity', 'Autoimmunity', 'Immunology', 'Infectious Diseases']

In this course, you will learn about the role of immune responses of the adaptive (acquired) immune system which provides specialised immunity against pathogens. Guided by our researchers in the Department of Immunity and Inflammation, we will take a closer look at the lymphocyte subsets and mechanisms involved in this delayed finely tuned response occurring days to weeks after the initial exposure to microbial antigens. We will also focus on the versatile cellular components which can distinguish between self- and nonself antigens and on how age affects the immune responses. In module one, learners will discover who B lymphocytes are and how they contribute to our immune response against pathogens. Together, we will explore how they develop, commit to becoming functional effector cells and what their effector mechanisms are. We will also investigate how the immune system prevents them from over-reacting against health cells. 7 videos4 readings2 assignments In module two, learners will discover how T lymphocytes develop, differentiate into two main sub-types and how these contribute to the orchestration of the adaptive immune response and the direct destruction of infected cells. We will also discuss the mechanism that our body has put in place to prevent these very powerful cells from turning against the host’s healthy cells. 2 videos2 readings3 assignments In module three, we will explore the ability of some T lymphocytes to directly kill infected and tumour cells. We will learn about the mechanisms that activate them, contrast this with other complementary immune mechanisms of direct killing, and understand how their activation is kept under tight control to avoid the destruction of healthy cells. 1 video2 readings2 assignments In module four, we will explore the development and function of a particular type of T lymphocytes, regulatory T cells, whose main role is to regulate the overall immune response to avoid serious detrimental outcome for the host. We will look at their mechanisms of action in more details and discuss their therapeutic application for human health. 1 video2 readings2 assignments In module five, learners will be taken on a travel journey into our body to understand how the correct immune cells get to the correct site of infection. This will involve understanding the mechanisms by which immune cells migrate from the blood stream to infected tissues and sites of activation. Importantly, together with our expert here at Imperial, we will also explore the importance for this ability to be tightly regulated. 2 videos2 readings2 assignments In module six, we will explore the impact ageing has on the immune system. We will identify what inflammaging is, its causes and its consequences on the immune system. We will reflect on what this means in terms of therapeutical approaches for human health. 1 video2 readings2 assignments

6 modules

Intermediate level

8 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/immunology-adaptive-immune-system

Successful Career Development

72,127

4.7

Dan Stotz

Kennesaw State University

[]

No matter the professional level, we can all benefit from learning how to succeed in our careers. Whether a well-seasoned professional, a management trainee, or a service level employee, this course will help you enrich your career by honing your professional behavior and networking. Through industry expert support and resources, this course is designed to prepare you for success in any chosen career. You will develop the habits and attitudes you need to perform effectively in the job market. You will identify a mentor to add value to your career. You will analyze your relationships and develop a practical approach for engaging your LinkedIn network. You will differentiate between networking and networking with intention. You will also discover the most effective ways to ask for help from your peer or professional group. Finally, you will evaluate the best methods of adjusting your career path at various stages of life. Welcome! Congratulations on your commitment to enhance your career! This course is designed for professionals in various stages of career development and success. So no matter if you are a young professional just starting out, a mid-career manager, a pre-launch executive, or a seasoned professional seeking to re-purpose a career and launch Career 2.0, this course will interest you. Our team of faculty will introduce you to the concept of Career Habitudes, guide you through finding a mentor for whatever stage you are at, NetWeaving your way through networking, and building authentic relationships. As a team of professors and higher education leaders, we are passionate about helping you make the most and best of your career. We look forward to helping you on your journey! In this module, we will introduce the key concepts and principles for developing career-enhancing "habitudes" as introduced by Dr. Tim Elmore, author of the Habitudes series of books. Research indicates that having the "wrong" attitude is the most common reason why young professionals lose their jobs. This module will provide valuable advice on how to develop the kind of habits and attitudes you need to succeed at any career stage. 9 videos6 readings2 assignments2 discussion prompts Establishing a relationship with a mentor can be one of the most beneficial and rewarding professional relationships. Regardless of level of career, a mentor will add value when paired correctly. This module will assist you with clarifying the expectations of a mentored relationship, identifying the areas that you feel will add value based on your personal needs, and introduce the difference between a mentor and a sponsor. Mentors can serve different purposes. 2 videos7 readings2 assignments2 discussion prompts In this module, you will be introduced to the concept of "NetWeaving" as introduced by author and networking expert Bob Littell. One of the most important career skills turns out to be a person's ability to create and maintain trusted relationships, both internally within the organization, as well as externally within the business community. NetWeaving promotes three skill sets, and several action steps, that can contribute to building and maintaining trusted relationships. The three skill sets are categorized as connector, law of reciprocity, and network. 8 videos5 readings2 assignments3 discussion prompts In this module, you will be introduced to the best practices for enhancing your career (and your job search) via LinkedIn. Without a doubt, the best tool for connecting business people is LinkedIn. As of August 2015, LinkedIn has more than 313 million members in over 220 countries, and is adding new ones at the rate of two new members per second. This module offers practical LinkedIn advice and instructions on how to best leverage your skills and abilities online. 1 video6 readings2 assignments1 peer review1 discussion prompt In this module, you will be introduced to key principles and best practices in the art of building and maintaining authentic business relationships which is critical at any stage of your career. The module will cover the topics of building trust, asking great questions, and inspiring others. Every action we take with regard to relationships in the business world is intentional. We will describe best practices in building relationships including being authentic, getting personal, being transparent, freely sharing ideas. keeping promises, and having a "pay it forward" attitude. 9 videos5 readings2 assignments3 discussion prompts Professionals often balance the need to solve problems on their own versus asking for help, thus exposing their lack of knowledge and/or experience. This module will assist you in making that determination, understanding their culture of their professional environment, while scanning the environment for style and preference. 1 video8 readings2 assignments1 discussion prompt In this module, you will be introduced to best practices in how to continuously review their career plans and make adjustments as necessary. This module will illustrate how the career ladder has turned into a rock wall that requires you to be more nimble and adaptable. More often than not, reaching the career of your dreams in not a direct path. You may need to climb sideways or move down the rock wall for a while before you can progress upward again. 1 video8 readings2 assignments2 discussion prompts

7 modules

Beginner level

https://www.coursera.org/learn/career-advancement

96%

Exploring Renewable Energy Schemes

29,613

4.7

Jorge Santiago-Aviles

University of Pennsylvania

['Energy Audits', 'Energy Systems', 'Renewable Energy', 'Power and Energy Calculations', 'Photovoltaic System Design']

What do you picture when you hear the term “renewable energy?” Do you imagine fields of solar panels, giant windmills, or huge hydroelectric dams? Those are all examples of large-scale, grid-tied systems. In this course, we’ll go much smaller and focus on off-grid, stand-alone systems. We will explore the key components of photovoltaic, wind, and hydroelectric systems. We will examine photovoltaic, or PV, system components, and the scientific laws essential to understanding how renewable energy systems work. We will discuss wind energy and low-head hydroelectric systems, focusing on small-scale implementations. During our exploration of these systems, we will focus on safety and regulating bodies that guide proper system design. Throughout the course, you will be able to apply what you’re learning by conducting an energy audit to analyze power consumption, identifying essential system components of small-scale systems, building a budget for a small-scale system design, and creating a design for implementing a small-scale system. In this module, we’ll get started by getting familiar with the course and our community expectations. Then, we'll explore the solar spectrum, the Stefan Boltzmann Law, and Wien’s Displacement Law. Each plays a significant role in helping us capture as much energy as we can from the sun. We’ll also explore direct beam and diffuse radiation and consider the implications for solar panel orientation. 5 videos10 readings2 assignments1 discussion prompt In this module, we’ll explore the essential element of any photovoltaic system: the solar cell. We’ll examine all aspects of the solar cell, moving from the single cell to a collection of cells that allow us to harness the sun’s power. 5 videos3 readings3 assignments1 discussion prompt The charge controller is a key element of any simple photovoltaic system. This device helps you avoid over or under charging your battery or battery bank. In this module, we’ll focus on both charge controllers and inverters and their important role in photovoltaic systems. 3 videos4 readings2 assignments1 discussion prompt In this module, we’ll start thinking about how to design a simple photovoltaic system. We’ll examine efficiency and develop strategies for determining the right components to meet our energy needs. 6 videos5 readings2 assignments1 discussion prompt Humans have been harnessing the wind’s power for centuries. We’ve used it to help us sail ships, pump water, and grind gain. In modern times, we’re using wind energy to power our homes. The state of California, a pioneer in wind energy utilization, produces energy from its wind turbine farms in excess of 20 terawatts annually. That’s enough energy to power 3 million households. 5 videos3 readings2 assignments1 discussion prompt In this module, we’ll explore the ways water can generate electricity and discuss the components of low-head hydroelectric systems. 4 videos3 readings2 assignments1 peer review1 discussion prompt

6 modules

Beginner level

https://www.coursera.org/learn/exploring-renewable-energy

98%

IELTS Listening and Speaking Sections Skills Mastery

56,752

4.6

Jay Daniyarova

University of California, Irvine

[]

Whether you have taken the IELTS test before, you will benefit from completing this course on the listening and speaking sections of the exam. The lessons in this course will improve your overall skills in both listening and speaking, and they will prepare you for every type of question in these sections of the test, increasing your chances of getting your target band scores. You will be ready to confidently complete all four parts of the listening section, which test a variety of listening skills. You will also be able to give well-constructed responses to the three sections of the speaking section. We’ll review plenty of sample questions and scoring rubrics so you’ll know exactly what to expect. The helpful tips and strategies offered in this course will give you the invaluable tools and knowledge you’ll need to identify correct answers and compose clear responses while efficiently managing the time allotted for each task. Taking tests can be stressful, but being familiar with the test and practicing will reduce anxiety and give you the confidence you’ll need to perform at your best. In this module, we will review the IELTS listening module, take a quiz, read an article, and answer discussion questions. You will learn how to complete different task types that you will encounter in your IELTS listening section of the test. You will learn how to manage your time and complete sections 1-4 successfully. You will also learn how you can apply various strategies and tips to complete this part of the task in a required amount of time. For this task, you will learn how to listen for 30 minutes, take notes, circle keywords, and transfer your answers to the answer sheet in 10 minutes. As we are practicing, please remember that it can be frustrating at first and you won’t hear some words or phrases clearly. It can take you much longer to complete this task when you do it for the first time and you might have to go back and listen again. It happens to many students. Just remember, you get better with every practice listening test you complete before your upcoming test. Please make sure to pause, take notes, and apply what you learned. Also, try to practice listening to news, videos, podcasts, music, etc. Every listening practice helps if you do it in English before your test. Find what makes you happy and interested and try to listen to it daily, at least 5-10 minutes. We hope you find these learning tips helpful and easy to apply during your actual test! Good luck and don’t forget to focus, use your pencil and smile. It helps a lot! 6 videos3 readings2 assignments2 discussion prompts In this module, we will review the IELTS speaking part of the test, take a quiz, read an article, and answer discussion questions. You will learn how to complete three parts of the speaking test, take notes, and speak a lot. You will also learn how you can apply various strategies and tips to complete this part of the task in a required amount of time. For this task, you will learn how to respond in each part of the test and know what to say. We will review how to speak for two minutes without stopping and answering questions in complete sentences. As we are practicing, please remember that it can be challenging to speak a lot especially in part 2 for two minutes without stopping. Remember, you get better the more you practice and review different topics. Please make sure you brainstorm some ideas and practice speaking with your timer for two minutes. We hope you find these learning tips helpful and easy to apply during your actual test! 3 videos1 reading1 assignment1 discussion prompt In this module, we will review additional IELTS listening and speaking strategies and tips that will help you ace this test and know what to do before and during the test. We will also discuss things you should do and not do during the test. As we are practicing, please remember that it can be frustrating and difficult to learn and apply some strategies and skills in your IELTS exam. But remember, you get better with every practice test you complete before your upcoming test. Please make sure to pause, take notes, and apply what you learned. We hope you find these learning tips helpful and easy to apply during your actual test! 3 videos1 reading1 assignment1 discussion prompt

3 modules

Beginner level

https://www.coursera.org/learn/ielts-listening-speaking

98%

Healing with the Arts

98,965

4.6

Mary Rockwood Lane, PhD, RN, FAAN

University of Florida

['Music', 'Art', 'Meditation', 'Visual Arts']

Through art projects—including visual arts, dance, writing, and music—along with spiritual practices and guided imagery, Healing With the Arts gives you the tools to heal what you need to heal in your life: physical, mental, emotional, and spiritual. This week will give you an overview of the course, an introduction to your guides, a get-started kit, and space to do art. 22 videos2 readings4 discussion prompts 14 videos2 discussion prompts 12 videos1 reading2 discussion prompts 14 videos2 discussion prompts 14 videos2 discussion prompts 11 videos1 peer review1 discussion prompt

6 modules

12 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/healing-with-the-arts

99%

Applied ChatGPT for Cybersecurity

7,244

4.5

Keatron Evans

Infosec

['Computer Security Incident Management', 'Artificial Neural Network', 'Cyberattacks', 'Network Security', 'Information Security (INFOSEC)']

There's a lot of talk about good and bad use of ChatGPT, but in this course we will dig into using ChatGPT to do some hands on introductory SOC analyst/incident response work, starting with basic packet analysis and moving to basic reverse engineering of a piece of malware. ChatGPT will be our guide as we do simple and intermediate level Wireshark packet analysis. We will reconstruct an entire attack and exfiltration campaign, then determine the exact commands used by the attacker. This work usually requires in-depth knowledge of SOC analyst and incident response tools, and of attack patterns in general, but we will see how having a subject matter expert create ChatGPT prompts to perform the investigation can make this a task something that even a novice SOC analyst would be able to complete. This will be a fun exercise, but remember to get your company's permission to do this in a environment or on a computer/virtual machine they approve of if using it at work. Since remnants of malware exist in the traffic, it could cause your antivirus or endpoint protection to alert. Training a SOC Analyst with ChatGPT 4 6 videos3 readings1 assignment

1 module

Intermediate level

1 hour to complete

https://www.coursera.org/learn/chatgpt-for-cybersecurity

Korean Music, A Philosophical Exploration

Enrollment number not found

Rating not found

SO JEONG PARK

Sungkyunkwan University

['Philosophy', 'Music', 'History', 'Culture', 'Korean philosophy']

This course introduces Korean philosophy projected into the subject of Korean music, especially K-POP, which is drawing global attention today. We confirm that Korea's unique philosophy was the basis for maintaining originality while being universally accepted by many people, and seek the role of philosophy for the continuous development and spread of Korean music. In this week, students will explore the rich and diverse world of Korean music, encompassing both contemporary K-pop and traditional Korean music, known as Gukak. They will gain an appreciation for the connections and continuity between these seemingly disparate genres, recognizing how elements of traditional Korean music influence and inform the contemporary K-pop sound. 8 videos1 reading1 assignment1 discussion prompt In this week, students will explore the concept of the "Korean Matrix" and how this course defines cultural boundaries, shedding light on the factors that shape and define Korean culture. Additionally, students will gain insights into the open-mindedness of Koreans towards embracing musical influences from various regions, including India, the Middle East, and China. 6 videos1 reading1 assignment1 discussion prompt In this week, students will discover how Koreans have historically embraced foreign musical influences through the Taepyeongso, showcasing their openness to external ideas and sounds. will introduce students to ancient indigenous Korean instruments, specifically the Geomungo and Gayageum, highlighting their unique cultural significance and contributions to Korean music. Lastly, this week will explore the intriguing paradox of Korean culture, where they have demonstrated an acceptance of foreign ideas and music while preserving their own rich traditions. 5 videos1 reading1 assignment1 discussion prompt In this week, students will engage with Korean emotions like Han which can be felt through the famous song Arirang and Heung which can be heard in songs like Ong-Heya. Students will learn that Han and Heung are both complementing and contrasting emotions which reflects a unique feature of Korean emotionality. 6 videos2 readings1 assignment1 discussion prompt In this week, students will first be introduced to Confucian ritual music and court music, gaining insight into the traditional ceremonial and royal musical practices of Korea.Furthermore, this week will delve into various theories, most notably Mencius’s music theory that explores the intricate relationship between music and morality, shedding light on how music can influence ethical values and behaviors. 8 videos1 assignment1 discussion prompt In this week, students will learn about Jeonganbo – Korea's unique musical notation system. Learners will also understand more about the Koreanness in Korean music and the connection between folk music and the Korean language. Additionally, students will be exposed to concepts such as Jangdan and how Daoist music theory might explain Korean musical innovation. 8 videos1 reading1 assignment1 discussion prompt This week is a round table with the lecturers and the student research assistants who helped develop this course. In this conversation the students will ask questions about topics ranging from Korean emotions, different models of history, to additional explanation about Jeonganbo (Korean music notation). This conversation serves to both summarize and dig deeper into the contents of the course previously covered. 1 video1 assignment1 discussion prompt

7 modules

Intermediate level

12 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/korean-music-a-philosophical-exploration

Financial Forecasting and Reporting

6,091

4.7

Michael J. Readey, Ph.D.

University of Colorado Boulder

['Understanding Corporate Financial Statements', 'Budgeting Techniques for Cost and Profit Centers', 'Risk Management: Scenario and Sensitivity Analysis']

This course discusses how public projects are evaluated using cost-benefit analysis. Learners discover how interest rates and prices for stocks and bonds are determined. Techniques are presented on how to create departmental budgets for engineering cost centers and pro forma statements for profit centers. Learners then work with corporate financial statements to assess a company’s financial health, including recent measures of environmental, social, and corporate governance (ESG). This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder. Investment decisions are often based on a company’s financial performance, and such performance is captured in its financial statements. The three examined in this course are the income statement, the balance sheet, and the statement of cash flows. Collectively, these provide a clear picture of a company’s profitability, its net worth, and how it manages its cash. 10 videos3 readings2 quizzes1 discussion prompt Financial statements inform management and investors about a company’s financial performance in absolute terms – dollars and cents. But it is often more valuable to understand performance in relative terms, such as gross profit relative to revenues, measured as a percentage. This makes it easier for management to compare one year to another and for investors to compare one company to another. Ratio analysis is the way this is done, and there are several categories of ratios that measure a company's liquidity, profitability, debt management, and investment potential. 9 videos1 reading1 quiz1 peer review Technical Managers are often tasked with preparing an annual budget for their project team, department, or product line. This involves estimating future costs, and in the case of a profit center, forecasting future revenues. Such forecasts can be made more reliable through a combination of qualitative and quantitative techniques. 7 videos1 quiz Forecasting future revenues and costs for a project invariably involves uncertainty, and such uncertainty equates to financial risk - the greater the uncertainty, the greater the risk. Risk management is about mitigating financial risk by assessing a project’s valuation under a range of different conditions, identifying the variables that most contribute to risk, and creating a plan to minimize the likelihood of any financial downside. 6 videos1 reading1 quiz Sustainability has become an important consideration in how businesses operate and govern themselves. Managers today focus on their company’s Triple Bottom Line: measuring environmental and social impacts along with their financial performance. Investors are interested in this too, and in response, companies with sustainability as a strategic objective now report their non-financial performance – enabling investors to assess progress toward sustainability goals. 8 videos2 readings2 quizzes

5 modules

Intermediate level

https://www.coursera.org/learn/financial-forecasting-and-reporting

Responsible AI for Developers Specialization

Enrollment number not found

4.9

Google Cloud Training

Google Cloud

['Google Cloud', 'Generative AI', 'Vertex AI', 'Machine Learning', 'Responsible AI', 'Google Cloud', 'Generative AI', 'Vertex AI', 'Machine Learning', 'Responsible AI']

This specialization equips developers with the essential knowledge and skills to build responsible AI systems by applying best practices of Fairness, Interpretability, Transparency, Privacy, and Safety. Throughout the courses, you will learn how to: Identify and Mitigate Bias: Learn to recognize and address potential biases in your machine learning models to mitigate fairness issues. Apply Interpretability Techniques: Gain practical techniques to interpret complex AI models and explain their predictions using Google Cloud and open source tools. Prioritize Privacy and Security: Implement privacy-enhancing technologies like differential privacy and federated learning to protect sensitive data and build trust. Ensure Generative AI Safety: Understand and apply safety measures to mitigate risks associated with generative AI models. By the end of this specialization, you will have a comprehensive understanding of responsible AI principles and the practical skills to build AI systems that are ethical, reliable, and beneficial to users. Applied Learning Project Throughout the courses, you will perform hands-on projects, including : Bias mitigation using the TensorFlow Model Remediation library Explainable AI techniques with Google Cloud Vertex AI Privacy-preserving machine learning training with DP-SGD Safeguarding Generative AI systems with Gemini Define what is Responsible AI Identify Google’s AI principles Describe what AI fairness and bias mean Explain how to identify and mitigate biases through data and modeling Define interpretability and transparency as it relates to AI Describe the importance of interpretability and transparency in AI Explore the tools and techniques used to achieve interpretability and transparency in AI Define what AI privacy and AI safety is. Describe methods used to address AI privacy in both data and models. List key considerations for AI safety implementation. Describe techniques used when implementing AI safety.

3 course series

Intermediate level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/responsible-ai-for-developers

Clinical Trials Data Management and Quality Assurance

10,973

4.8

Janet Holbrook, PhD, MPH

Johns Hopkins University

['Data Collection', 'Statistical Analysis', 'Monitoring', 'Data Management', 'Clinical Data Management']

In this course, you’ll learn to collect and care for the data gathered during your trial and how to prevent mistakes and errors through quality assurance practices. Clinical trials generate an enormous amount of data, so you and your team must plan carefully by choosing the right collection instruments, systems, and measures to protect the integrity of your trial data. You’ll learn how to assemble, clean, and de-identify your datasets. Finally, you’ll learn to find and correct deficiencies through performance monitoring, manage treatment interventions, and implement quality assurance protocols. This module covers the design and organization of data collection instruments to be used in a clinical trial. A well-designed data collection instrument is critically important to the success of a trial because it determines the way that the data are defined, collected, and organized. A study without a well-designed data collection instrument is likely to encounter otherwise avoidable problems. 6 videos1 reading1 assignment In this module, you’ll learn about data management in the context of clinical trials. You’ll learn definitions and core concepts and explore a few different frequently used data management systems. We’ll look closely at Excel and other spreadsheet programs because they are widely used and help illustrate broader data management principles. You'll also learn about data integrity, which incorporates features of data security, redundancy, and preservation. 5 videos1 assignment Data assembly involves preparing data for distribution to others. In this module, you’ll learn the necessary steps for creating datasets for sharing. We’ll cover data freezes and data locking as well as cleaning, de-identification, sharing, and standards that you and your team can use to make your data more useful. 5 videos1 assignment In this module, you’ll learn how to conduct performance monitoring in clinical trials. Specifically, we’ll discuss a framework for monitoring clinical center performance and protocol adherence through all phases of the trial from start-up through follow-up. The module will conclude with a brief overview of site visits, an important part of a performance monitoring toolkit. 3 videos1 assignment In this module, you’ll learn about the principles of managing treatment interventions. There’s a considerable amount of heterogeneity in clinical trials, so a number of factors can influence how you deal with the intervention. Factors include the hypothesis, the design, whether it is an improved intervention, and whether it is licensed or experimental. You’ll also learn about different types of drug formulations and how they factor into masking protocols. 4 videos1 assignment In this module, you’ll learn about quality assurance, which refers to the various measures that you and your team can take to help prevent mistakes or problems in your clinical trial. These measures can differ throughout the stages of the trial, so we’ll discuss the specific context in which these measures should be used. 6 videos1 reading1 assignment

6 modules

Beginner level

6 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/clinical-trials-data-collection-management-quality-assurance

Design Thinking: Insights to Inspiration

9,840

4.7

Jeanne M. Liedtka

University of Virginia

['Strategic Thinking', 'Innovation', 'Innovation Management', 'Design Thinking']

Welcome Designers! In this course, developed at the Darden School of Business at the University of Virginia, we will introduce you to the design thinking process. It is a project-based course in which you will identify a human-centered problem that you want to solve. We will focus our attention on the first seven steps of our 14-Step design thinking process. We’ll guide you through crafting and carrying out a research plan that helps you answer the question, “What is?” You will gather and identify important insights about the needs and wants of others and use this information to identify the attributes of an ideal solution. Welcome to the course! Ready to begin? We are going to get off to a fast start! This week you will be learning some introductory material and starting work on your project by completing Step 1. 14 videos3 readings1 assignment1 discussion prompt In Week 2 you'll advance your thinking about your project and learn more about the challenges of driving innovation through an organization. 5 videos2 readings1 assignment1 discussion prompt After completing your Design Brief, you are ready to move into Steps 4 and 5. This week you'll make plans and begin your research. 8 videos2 readings1 assignment1 discussion prompt In Week 4, we will continue to work on the field work for your project. There are no new steps to tackle--just keep focusing on getting your field research completed. With your field work underway, we are going to spend our time this week shifting our focus from the level of process to the level of the personal and ask you to consider your own mindset and repertoire. 10 videos2 readings1 assignment1 discussion prompt Welcome to Week 5. At this point, you have hopefully completed your planning and are wrapping up your field research. Your completed research will be the input that we'll use to mine for deep insights (Step 6) and then transform those insights into design criteria (Step 7). 9 videos2 readings1 assignment1 peer review1 discussion prompt

5 modules

Beginner level

13 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/uva-darden-design-thinking-insights-to-inspiration

The Pronunciation of American English Project

13,695

4.7

Helen Nam

University of California, Irvine

[]

In the final course of The Pronunciation of American English specialization, you will complete a final self-reflection project applying what you have learned in the first three courses about consonants, vowels, and the “music” of English. In preparation for the project, you will take a post-test, review all the sounds of English, analyze a speech, and share your advice on improving pronunciation with other learners. Only learners who pay for the course will be able to take the graded quizzes or submit assignments for feedback. The free version provides access to the lectures and practice activities only. Welcome to the final course in The Pronunciation of American English specialization. In the next four weeks, you’ll have a chance to review and put to use all the things you’ve learned in the past three courses. Your final product will be a recorded reflection speech looking back at what you’ve learned, how your skills have improved, and what goals you want to set for yourself to continue to develop your pronunciation skills. To prepare you for this, you’ll complete several steps and assignments. You’ll take a post-test to see how your perception of the sounds of American English has improved, and you’ll practice review sentences with all the sounds of English. You’ll choose a recording of a skilled speaker on a topic that interests you, use it as a model to analyze the music of English, and share your analysis with other learners. Finally, you’ll record and upload your reflection about your own pronunciation “journey” and offer some advice to other learners based on your own experience. 1 video2 readings 2 readings1 assignment 2 readings1 peer review 1 video2 readings1 peer review 1 video1 reading1 peer review

5 modules

Beginner level

16 hours to complete (3 weeks at 5 hours a week)

https://www.coursera.org/learn/pronunciation-american-english-project

Introduction to Cloud Identity

74,944

4.6

Google Cloud Training

Google Cloud

['Identity Management (IDM)', 'Google', 'Cloud Computing', 'Security Assertion Markup Language (SAML)']

Introduction to Cloud Identity serves as the starting place for any new Cloud Identity, Identity/Access Management/Mobile Device Management admins as they begin their journey of managing and establishing security and access management best practices for their organization. This 15-30 hour accelerated, one-week course will leave you feeling confident to utilize the basic functions of the Admin Console to manage users, control access to services, configure common security settings, and much more. Through a series of introductory lessons, step-by-step hands-on exercises, Google knowledge resources, and knowledge checks, learners can expect to leave this training with all of the skills they need to get started as new Cloud Identity Administrators. Learning Objectives By the end of this course participants will be able to: • Establish a Cloud Identity domain for their organization or personal domain. • Add users in order to practice user lifecycle management. • Modify user permissions to gain an understanding of core Cloud Identity features. • Add mobile devices within the Google Mobile Management module. • Modify mobile management policy sets to gain familiarity with product options. • Navigate the Reports module, and practice running reports. • Explore and apply different security protocols to the domain. IMPORTANT - Before you enroll, you should be prepared to: • Sign up for a free 14 day trial of Cloud Identity. You will need to enter payment method information. We will show you step-by-step how to cancel your account if you wish to end your Cloud Identity instance at the end of training and avoid being charged. • Purchase a new domain or use one that you already own. The domain you use IS NOT included as part of the Cloud Identity trial. In this module, we guide you through the Cloud Identity product, and walk you through setting up your account and Google Cloud Identity free trial to use during training. 3 videos5 readings1 assignment In this module, you'll learn about provisioning and managing users in your Cloud Identity domain. The exercises cover how to add new users in various ways and how to configure user identities, settings, and privileges. 2 videos14 readings1 assignment In this module, you will walk you through some of the security features that are available to you as the Cloud Identity admin. 2 videos10 readings1 assignment In this module, you'll learn about Google mobile device management settings, understand how to enforce device policies over their mobile fleet using the Google Admin console, and learn how to prevent unauthorized access to an account from a lost mobile device. 5 videos8 readings1 assignment In this module, you will learn how to do basic domain management and report generation from the Google Cloud Identity Admin Console. 2 videos4 readings1 assignment This module serves as the summary of your training and also provides you with two case studies that will help you think about practical applications of Google Cloud Identity. 1 video2 readings

6 modules

Beginner level

https://www.coursera.org/learn/cloud-identity

95%

Self-Driving Cars Specialization

75,873

4.7

Steven Waslander

University of Toronto

[]

Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner. This Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA. Throughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field. You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry. It is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers). Applied Learning Project You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry. Understand commonly used hardware used for self-driving cars Identify the main components of the self-driving software stack Program vehicle modelling and control Analyze the safety frameworks and current industry practices for vehicle development Understand the key methods for parameter and state estimation used for autonomous driving, such as the method of least-squares Develop a model for typical vehicle localization sensors, including GPS and IMUs Apply extended and unscented Kalman Filters to a vehicle state estimation problem Apply LIDAR scan matching and the Iterative Closest Point algorithm Work with the pinhole camera model, and perform intrinsic and extrinsic camera calibration Detect, describe and match image features and design your own convolutional neural networks Apply these methods to visual odometry, object detection and tracking Apply semantic segmentation for drivable surface estimation Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning. By the end of this course, you will be able to find the shortest path over a graph or road network using Dijkstra's and the A* algorithm, use finite state machines to select safe behaviors to execute, and design optimal, smooth paths and velocity profiles to navigate safely around obstacles while obeying traffic laws. You'll also build occupancy grid maps of static elements in the environment and learn how to use them for efficient collision checking. This course will give you the ability to construct a full self-driving planning solution, to take you from home to work while behaving like a typical driving and keeping the vehicle safe at all times. For the final project in this course, you will implement a hierarchical motion planner to navigate through a sequence of scenarios in the CARLA simulator, including avoiding a vehicle parked in your lane, following a lead vehicle and safely navigating an intersection. You'll face real-world randomness and need to work to ensure your solution is robust to changes in the environment. This is an intermediate course, intended for learners with some background in robotics, and it builds on the models and controllers devised in Course 1 of this specialization. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses) and calculus (ordinary differential equations, integration).

4 course series

Advanced level

3 months (at 10 hours a week)

https://www.coursera.org/specializations/self-driving-cars

Getting Started with Data Visualization in R

29,492

4.8

Collin Paschall

Johns Hopkins University

[]

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance. To fill that need, this course is intended for learners who have little or no experience with R but who are looking for an introduction to this tool. By the end of this course, students will be able to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown. The course is designed for students with good basic computing skills, but limited if any experience with programming. In this module, we will get set up with R to process data for visualizations. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up. 8 videos7 readings4 assignments1 peer review In this module, we will use functions from the tidyverse to manipulate data. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up. 5 videos7 readings2 assignments1 peer review In this module, we learn to make reproducible reports using R Markdown. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up. Then, at the end of the module, you will submit an assignment for peer review that covers all of the material in this course. 3 videos8 readings3 assignments1 peer review

3 modules

Beginner level

https://www.coursera.org/learn/jhu-getting-started-data-viz-r

95%

Digital Channel Planning and E-Commerce Strategy

17,894

4.6

Digital Marketing Institute

Digital Marketing Institute

['E-Commerce Strategy', 'Search Engine Marketing (SEM) Strategy', 'Digital Channel Planning', 'Social Media and Email Marketing Strategy', 'Display and Video Advertising Strategy']

Digital Marketing Institute is the global standard in Digital Marketing Certification. Our mission is to give our students the confidence and knowledge they need to advance in their careers through this specialization. Research shows that retail customers switch channels during their purchase-decision journey. Many of us research products online at home, or on-the-go using a mobile device, while checking online reviews and comparing prices. The final decision to purchase may happen online, or in a traditional brick-and-mortar store. Omnichannel marketing is a response to modern buying habits, providing consumers with a consistent brand experience across all touchpoints, whether traditional or digital. If you want to understand how marketers plan campaigns to reach consumers at every possible point of contact and how effective digital strategies can help businesses grow and thrive today, this course will help you do so. You will learn about cross-media planning and the digital channel mix before diving deeper into topics including digital channel planning, and inbound and outbound channel strategy. After completing this course, you will be able to: - • Use best practices to create an omnichannel marketing strategy with a unified message, voice, and brand and a seamless customer experience • Demonstrate an understanding of the key tactics and strategies associated with inbound channels including social media marketing, content marketing, search engine marketing, and email marketing • Demonstrate an understanding of the key tactics and strategies associated with outbound channels including digital display, video, and YouTube advertising This course also covers the critical topic of e-commerce and how to develop an effective e-commerce and social customer service strategy that delivers real value for customers. This is the second course in the Digital Marketing Institute’s Digital Strategy specialization. On completion of all courses in your Specialization, you will also be awarded a Digital Marketing Institute Certified Digital Marketing Associate certification, along with three months of free Power Membership, allowing you to boost your career and unlock your next opportunity. 92% of DMI members have said their courses have had a positive impact on their careers, while 88% are now working at senior or manager level. This module opens with a comprehensive overview of channel planning including the challenges this presents to marketers. It covers inbound and outbound strategies, cross-media planning, the digital channel mix, and mobile marketing. Next, the module dives deeper into key topics related to each of the channels, covering social media marketing and content marketing strategy, search engine marketing, SEO, conversion rate optimization, paid search, and developing an email marketing strategy. 17 videos18 readings5 assignments4 discussion prompts7 plugins This module begins with the fundamentals of display and video advertising, and demonstrates how to set up and manage a YouTube channel. It also covers the benefits of display advertising, the best practices for display and video advertising, and key digital display tactics. 10 videos11 readings4 assignments1 discussion prompt3 plugins This module introduces the characteristics of the e-commerce business model and helps you understand the corresponding business requirements and decisions that flow from their value proposition. You will learn to recognize the strengths and limitations of different e-commerce solutions and common payment methods. Finally, the module covers how to plan and begin to implement a social customer service strategy. 10 videos8 readings3 assignments1 peer review1 discussion prompt3 plugins

3 modules

Beginner level

https://www.coursera.org/learn/digital-channel-planning-ecommerce-strategy

96%

Browser-based Models with TensorFlow.js

47,171

4.8

Laurence Moroney

DeepLearning.AI

['Tensorflow', 'Convolutional Neural Network', 'Object Detection', 'Machine Learning', 'TensorFlow.js']

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this first course, you’ll train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization. Welcome to Browser-based Models with TensorFlow.js, the first course of the TensorFlow for Data and Deployment Specialization. In this first course, we’re going to look at how to train machine learning models in the browser and how to use them to perform inference using JavaScript. This will allow you to use machine learning directly in the browser as well as on backend servers like Node.js. In the first week of the course, we are going to build some basic models using JavaScript and we'll execute them in simple web pages. 11 videos9 readings2 assignments1 programming assignment1 app item This week we'll look at Computer Vision problems, including some of the unique considerations when using JavaScript, such as handling thousands of images for training. By the end of this module you will know how to build a site that lets you draw in the browser and recognizes your handwritten digits! 8 videos6 readings1 assignment1 programming assignment This week we'll see how to take models that have been created with TensorFlow in Python and convert them to JSON format so that they can run in the browser using Javascript. We will start by looking at two models that have already been pre-converted. One of them is going to be a toxicity classifier, which uses NLP to determine if a phrase is toxic in a number of categories; the other one is Mobilenet which can be used to detect content in images. By the end of this module, you will train a model in Python yourself and convert it to JSON format using the tensorflow.js converter. 12 videos7 readings1 assignment1 programming assignment1 ungraded lab One final work type that you'll need when creating Machine Learned applications in the browser is to understand how transfer learning works. This week you'll build a complete web site that uses TensorFlow.js, capturing data from the web cam, and re-training mobilenet to recognize Rock, Paper and Scissors gestures. 11 videos5 readings1 assignment1 programming assignment

4 modules

Intermediate level

https://www.coursera.org/learn/browser-based-models-tensorflow

94%

Human Factors & Usability Engineering: Designing for Humans Specialization

Enrollment number not found

4.8

Robert Gray

Arizona State University

['Usability', 'Human performance', 'Human-Centered Design', 'Visual interface and designs', 'Field of human factors', 'Usability', 'Human performance', 'Human-Centered Design', 'Visual interface and designs', 'Field of human factors']

Explore the multidimensional world of Human Factors and learn the strategies behind optimizing human interactions and performance. In this specialization, you will dive into the field of human factors, where science and design converge to enhance safety, efficiency, and user experience across various industries. Discover the fundamental concepts and principles that underpin human factors and how they shape the design of products, systems, and environments. Gain valuable insights into human cognition, perception, and behavior to create user-friendly interfaces and seamless interactions. Whether you're a seasoned professional or just beginning your journey in human factors, this specialization equips you with the skills and knowledge to make a significant impact in today's interconnected world. Applied Learning Project You will have the opportunity to apply what you've learned through case studies and usability analysis assignments located in each course.  At the end of each course, you will work on Usability Assignments that go from Stage 1 to Stage 4, you will be asked to identify a product, technology, or system that you plan to evaluate, then identify a minimum of 2 methods that you will use in your usability assessment. You will present the results of your usability evaluations, and finally, you’ll be asked to make a video that summarizes your project. You will learn about human factors and will identify key human factors applications as well as compare and contrast methods for reducing human error. Learn how to distinguish methods for studying human error and analyze methodologies for evaluating the usability of products, technologies & systems. You will be able to compare and contrast different types of perceptual displays and understand the trade-offs in designing effective interfaces. Learn to distinguish between types of attention & memory, and identify strategies and heuristics used for decision making & problem solving. You will be introduced to types of controls, be able to understand and identify key factors that influence how humans produce & sense motion.

5 course series

Intermediate level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/human-factors-and-usability-engineering-designing-for-humans

Data Engineering in AWS

3,243

3.6

Whizlabs Instructor

Whizlabs

['Information Engineering', 'Machine Learning', 'Amazon Web Services (Amazon AWS)']

Data Engineering in AWS is the first course in the AWS Certified Machine Learning Specialty specialization. This course helps learners to analyze various data gathering techniques. They will also gain insight to handle missing data. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 2:30-3:00 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners. Module 1: Introduction to Data Engineering Module 2: Feature extraction and feature selection Candidate should have at least two years of hands-on experience architecting, and running ML workloads in the AWS Cloud. One should have basic ML algorithms knowledge. By the end of this course, a learner will be able to: - Understand various data-gathering techniques - Analyze techniques to handle missing data - Implement feature extraction and feature selection with Principal Component Analysis and Variance Thresholds. Welcome to Week 1 of Data Engineering in AWS Course. This week will begin with understanding SageMaker Jupyter Notebooks setup. We’ll also get an overview of handling and dropping Missing Data.This week will end by analyzing information about Gathering data. 12 videos2 readings2 assignments1 discussion prompt Welcome to Week 2 of Data Engineering in AWS Course. This week , we’ll learn to perform Feature extraction and feature selection with Principal Component Analysis and Variance Thresholds. We’ll also explore feature extraction and feature selection techniques. By the end of this week, we’ll analyze AWS Migration services and tools. 11 videos4 readings5 assignments

2 modules

Beginner level

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/data-engineering-in-aws

Swift 5 iOS Application Developer Specialization

16,859

4.5

Mark Price

LearnQuest

['iOS App Development', 'Xcode', 'Swift 5', 'Application development', 'AppStore Purchases', 'iOS App Development', 'Xcode', 'Swift 5', 'Application development', 'AppStore Purchases']

This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development. Throughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions. By the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers. Applied Learning Project Throughout this hands-on program, students will have the opportunity to learn and practice key development skills including the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions. how to install Xcode and other Swift tools to properly set up your development environment how to program using Swift including strings, variables, constants and program logic how to use data constructs and create reusable code segments how to build common architectures for Swift and iOS development Create a new iOS project and build your first iOS app Manage screen displays and group multiple views Use programming commands to allow for user interaction Write and execute unit tests to keep your code error free How to create memory-efficient tables and display data in a list How to model data and create database relationships How to persist and fetch data How to use APIs and communicate with web servers How to create and monetize apps on the Apple App Store, including in-app advertisements and purchases. How to create consumable and non-consumable in-app purchases. How to create a user interface that respects purchases, and prepare to publish on iTunes Connect. How to create and manage user subscriptions. Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

4 course series

Beginner level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/swift-5-ios-app-developer

Politics and Economics of International Energy

73,901

4.7

Giacomo Luciani

Sciences Po

[]

Energy issues have always been important in international relations, but in recent years may have become even more important than in the past due to the widespread awareness of existing limits to energy sources and negative climate impacts. The course discusses global trends in energy consumption and production, various available scenarios for potential developments in the coming decades, the availability of oil reserves and the evolution of the oil industry. It then discusses natural gas and highlights the differences between oil and gas. It will also discuss renewable energy sources, nuclear energy and EU energy policy. The course aims at providing students whose main interest is in international relations a background on energy resources, technology and economic realities to allow them to correctly interpret the political impact of current developments. It also aims at providing students, who already have a technical background in energy science or engineering, with the broad global view of energy issues that will allow them to better understand the social, economic and political impact of their technical knowledge. ABOUT THE INSTRUCTOR : Giacomo Luciani Scientific Advisor for the Master in International Energy at the Paris School of International Affairs (PSIA) Sciences Po, Giacomo Luciani is also Adjunct Professor at the Graduate Institute of International and Development Studies, Geneva and Director of the Executive Master in International Oil and Gas Leadership. For the period 2010-13 he was appointed Princeton University Global Scholar, attached to the Woodrow Wilson School and the Department of Near Eastern Studies. His research focuses on the political economy of the Middle East and North Africa and on global energy issues. RECOMMENDED BACKGROUND : The course requires no special scientific, mathematical or economic background; all key concepts are clearly and elementarily explained. It is expected that it will be of interest to undergraduate and graduate students in schools where an equivalent course is not offered (this being the case for the vast majority of schools). USPC Sorbonne Paris Cité Supported by Université Sorbonne Paris Cité IDEX Investissements d'Avenir Funded by Investissements d'Avenir - 'ANR. Info : Course content : Licence Creative Commons BY NC SA This module presents the Introduction to global energy consumption, Energy scenarios, Energy transition and poverty 10 videos4 readings1 assignment1 discussion prompt 11 videos5 readings1 assignment1 discussion prompt This module presents the Introduction to renewable energy, Types of renewable energy, Renewable energy integration, Energy efficiency 12 videos7 readings1 assignment1 discussion prompt This module presents the Introduction to oil formation and exploration, Oil extraction methods, Environmental management in oil production 21 videos4 readings1 assignment1 discussion prompt This module presents the Introduction to natural gas, The international gas market, New gas developments 12 videos4 readings1 assignment1 discussion prompt This module presents the Introduction to Nuclear Energy, Nuclear Energy for electricity generation, Safety of Nuclear Energy 8 videos2 readings1 assignment1 discussion prompt 8 videos4 readings1 assignment1 discussion prompt 6 videos3 readings1 assignment1 discussion prompt

8 modules

Beginner level

https://www.coursera.org/learn/global-energy

93%

Cross-border road transport in EU law context

3,896

Rating not found

Amber Zwanenburg

Erasmus University Rotterdam

[]

Have you ever wondered which legal rules are applicable to cross-border EU road transport? Are you interested in the issues revolving around EU employment law in the international road transport sector? Then, on behalf of the University of Antwerp, Erasmus University Rotterdam, University of Gdańsk, University of Luxembourg and Tilburg University, we would like to welcome you to this MOOC on Cross-border Road Transport in EU law context. This MOOC is a part of the Erasmus + Project funded by the European Commission. In this MOOC, you will not only learn what the current legal framework is, but also, how it is applied in the road transport sector. After participating in this MOOC, you will be able to: 1. Describe the basics of the process of European integration, in the light of the affirmation of the four fundamental freedoms of the EU, European framework on private international law, the posting of workers, social security coordination and social dialogue. 2. Understand the interplay between Treaty provisions and secondary sources in the relevant fields. 3. Understand the frictions between the rationales underneath the legal provisions that govern EU social policy and labour law. 4. Analyse the most relevant case law of the European Court of Justice with an impact on the rights of international road transport workers. 5. Familiarise with official documents of the EU institutions and with academic and other relevant literature in this field. 6. Use, where relevant, the implementation of EU rules by Member States. 7. Solve cases dealing with the implementation of the applicable legal provisions. We are offering you knowledge clips, memoranda that contain in-depth legal information on the different key topics, recommended readings and case law. Next to that after each module, you could test your acquired knowledge by taking a multiple choice test. In the end of this course, you will be able to apply everything you have learned in a practical manner by solving our sample guide case that resembles a real life scenario which challenges you to deal with everyday's problems faced in the cross-border road transport by practitioners in the field. By participating in this MOOC, you will find answers to the following questions: 1. Which of the four fundamental freedoms is applicable? 2. Which court has jurisdiction over a labour dispute and which law governs the cross-border employment relation? 3. How to apply and enforce the rules stemming from the Posting of Workers Directive? 4. Which social security system is applicable and which social security institution is competent to levy the social security contributions? 5. What is the role of social partners in the cross-border road transport? In the end it all makes SENSE! So let's go down this road together. Buckle up! In this first part of the MOOC, we will introduce this MOOC and it's topic: 2 videos3 readings2 discussion prompts The second week sets forth the general legal framework depicting the basic operating mechanisms of the European Union internal market with a focus oriented at the personal and material scope of three fundamental freedoms of the Treaty on the Functioning of the European Union (TFEU): free movement of workers, freedom to provide services and freedom of establishment. The core principle governing the fundamental freedoms embodied in the Treaties is the principle of non-discrimination and the prohibition of imposing obstacles to these freedoms. These principles, depending on the freedom, may have a different ambit, as shown by important case law of the Court of Justice of the European Union (CJEU), which will be analysed further throughout the memorandum. 6 videos11 readings1 assignment1 discussion prompt The third week dwells into the problem of applicability of rules on private international law on the employment contracts in the cross-border road transport. It is demonstrated that due to the intrinsic characteristic of the cross-border road transport, which is its transnational nature, conflict of laws may arise. The questions that need to be addressed upon such consideration are not only revolving around the law of which Member State is applicable to the employment contracts at hand, but also, the jurisdiction of the courts over the claim that is to be submitted. To bring coherency to the subject matter, which usually was regulated at the national level by the Member States, some legal regimes have been adopted by the EU that form a large part of EU law, which are further set forth in this part. 10 videos16 readings1 assignment2 discussion prompts The fourth week concerns the posting of workers, who under EU law are not considered to be workers falling under the ambit of the free movement of workers provisions of the TFEU (Article 45 TFEU), but instead, they fall under the scope of the provisions governing the freedom to provide services. Consequently, posted workers cannot enjoy fully the principle of equal treatment unlike workers do, because as argued, they do not enter the labour market of a host Member State since they are supposed to provide their services temporary. Nevertheless, in order to strengthen the protection of these workers and to eliminate the risks of unfair competition between undertakings established in the Member States, the Posting of Workers Directive plays a pivotal role by guaranteeing a minimum set of hard-core rights to those workers who are posted to another Member State. In addition, the Posting of Workers Enforcement Directive seeks to safeguard a proper enforcement of these rules. Since the issue of posting is present in cross-border transport, as it happens to be the case that truck drivers are the ones being posted to deliver the goods from one Member State to another Member State, these legal instruments must be taken into account with regard to the issues concerning genuine posting and the enforcement of the existing rules on posting. 6 videos11 readings1 assignment2 discussion prompts The fifth week envisages the social security coordination at the European Union level. Cross-border road transport possesses a transnational element, truck drivers could fall under a number of national legal regimes depending on the country of origin, transit countries and the country of the final destination. Therefore it is crucial to analyse to which social security scheme should the drivers be subject to so that it is clear where contributions have to be paid and where they could enjoy all the corollary rights and benefits. This part of the Module dwells into the existing legal provisions regulating social security stemming from the hard law instruments as such and on top of that, case law, which particularly in this field, forms a substantial bulk of applicable rules whilst implementation. 10 videos16 readings1 assignment2 discussion prompts The last theoretical week addresses the social dialogue mechanisms. The social dialogue attempts to facilitate the cooperation between a vast array of stakeholders representing different positions, also in forms of collective bargaining, which in essence contributes to an overall improvement of strategic legal instruments by taking into account a wider perspective worked out in a course of negotiations and consultations. At the European level, social dialogue plays an important role between the associations of employers, trade unions and essentially the EU institutions that are obliged to take into account the stakeholders' opinions on the legislative proposals. Therefore, as described, social dialogue cannot be omitted, nor disregarded, quite the contrary, it needs to be strengthened to achieve a fair level playing field for all involved in the cross-border road transport. 1 video5 readings Finish the course by writing the sample case paper and review two of your peers assignments 1 reading1 peer review

7 modules

Advanced level

26 hours to complete (3 weeks at 8 hours a week)

https://www.coursera.org/learn/transport-eu-law

Becoming a Cybersecurity Consultant

Enrollment number not found

Rating not found

Marco Anisetti

EIT Digital

['Cybersecurity', 'cybersecurity threats', 'cybersecurity consultant', 'economics of cybersecurity', 'technologies impacting cybersecurity']

The Becoming a Cybersecurity Consultant course is the perfect choice for individuals planning to develop a career in cybersecurity, middle managers and executives. The course covers the following main learning objectives: Threats - Technology - Economics. The curriculum is designed to cover theoretical concepts which a Cybersecurity Consultant (medium level) should know. It is structured in 4 modules and is aimed to be finished in about 3-4 weeks-time. The course contains a set of quizzes with a pass mark of 60%. Learners interested in getting the certificate have to pass all the quizzes and get a total score of 70% or above. Except otherwise noted, the reuse of these presentations/videos is authorized under the Creative Commons Attribution 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/). This means that reuse is allowed provided appropriate credit is given and any changes are indicated. For any use or reproduction of material that is not owned by the CONCORDIA partner providing the respective course, permission must be sought directly from the copyright holders. The course Becoming Cybersecurity Consultant was developed as part of the CONCORDIA project, and it is a joint effort of the following partners: University of Milan, University of Lorraine, University of Zurich, University of Insubria, Industrial Systems Institute Athens, Bitdefender, TUV IT Austria, EIT Digital. The CONCORDIA project is funded by the European Union’s Horizon 2020 Research and Innovation program under Grant Agreement No 830927. 1 video The main focus of this module is to set up the stage for the rest of the course presenting key concepts that will be extended in the following modules. It will present an introduction to security and security properties as well as details on privacy and privacy preserving mechanisms. It will introduce the concept of accountability in the context of a Continuous Appropriate Dynamic Accountability strategy. Finally it will address elements linked to Risk Management. The module is organized in 3 lessons tackling the above aspects in a theoretical way leaving to other modules the deep dive into the relevant technical aspects. It is expected that at the end of the module, learners will acquire (a) knowledge on cyber threats and vulnerabilities, (b) knowledge on confidentiality, integrity, and availability principles (c) knowledge of cybersecurity and privacy principles used to manage risks related to the use, processing, storage, and transmission of information or data, (d) Skill in applying confidentiality, integrity, and availability principles, (e) Knowledge of risk/threat assessment, (f) Skill in performing impact/risk assessments. 10 videos3 assignments The main focus of this module is to provide learners with an overview of offensive methods and techniques that are used to carry out security attacks targeting IT infrastructures and their services. The module is organized into 4 lessons tackling different aspects of cybersecurity offensive methods and techniques. The first lesson introduces attacker capabilities and attack stages, the second lesson discusses the current gaps and emerging security issues, the third lesson is dedicated to network attacks methods, while the fourth lesson will present novel technologies and the relative attack surface. It is expected that at the end of the module, learners will acquire (a) knowledge on cyber attack stages and attacker capabilities, (b) knowledge on emerging security issues, risks, and vulnerabilities, and (c) knowledge on computer networking concepts and protocols, and network security methodologies. This course will allow students to develop some basic but fundamental skills including including (i) skills to anticipate new security threats, (ii) skills to applying confidentiality, integrity, and availability principles, and (iii) skills to design countermeasures to identified security risks. 16 videos7 assignments The main focus of this module is to provide learners with an overview and provide details regarding defensive methods and techniques that are used to prevent, detect and mitigate security attacks targeting IT infrastructures and their services. The module is organized into five lessons tackling different aspects of cybersecurity defensive methods and techniques. The first lesson introduces the principles of security-by-design, the second lesson discusses vulnerability assessment and prevention methods, the third lesson is dedicated to network protection methods, the fourth lesson relates to application/OS protection techniques, while the fifth lesson addresses more specifically data protection.It is expected that at the end of the module, learners will acquire (a) knowledge on information technology (IT) security principles and methods, (b) knowledge on cyber defense and vulnerability assessment methods and their capabilities, and (c) knowledge on cybersecurity and privacy principles related to data protection.

With this knowledge and course participation, several skills are developed, such as (i) skill in discerning the protection needs (i.e., security controls) of information systems and networks, (ii) skill in creating policies that reflect system security objectives, (iii) skill in designing countermeasures to identified security risks, and (iv) skill in evaluating the adequacy of security designs. 14 videos9 assignments The main focus of this module is to provide students with an overview and present details regarding risk management from an economic perspective so that once the module finishes, the student can assess the possible risks and their economic impact on a company. The lesson starts by explaining the importance of looking into cybersecurity from an economic perspective, then discussing the costs to consider when planning for cybersecurity measures. Also, it introduces theoretical and practical models for cybersecurity investments and decision-making while applying them to a concrete case using a cybersecurity economic tool called SECAdvisor. It is expected that at the end of the module, students will acquire (a) knowledge of integrating the organization’s goals and objectives into the architecture, and (b) knowledge of risk/threat assessment. With this knowledge and course participation, several skills are developed, such as (i) skill in evaluating the adequacy of security designs, (ii) skill in conducting capabilities and requirements analysis, (iii) skill to use critical thinking to analyze organizational patterns and relationships, and (iv) skill to understand the operational, financial and policy-related parameters and the effective implementation of cybersecurity in practice. 3 videos1 assignment

5 modules

Intermediate level

8 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/becoming-a-cybersecurity-consultant

Product Analytics and AI

31,480

4.7

Alex Cowan

University of Virginia

['Software Development', 'Product Management', 'Agile Software Development']

Few capabilities focus agile like a strong analytics program. Such a program determines where a team should focus from one agile iteration (sprint) to the next. Successful analytics are rarely hard to understand and are often startling in their clarity. In this course, developed at the Darden School of Business at the University of Virginia, you'll learn how to build a strong analytics infrastructure for your team, integrating it with the core of your drive to value. Without an actionable view of who your customer is and what problems/jobs/habits they have, you’re operating on a shaky foundation. This week, we’ll look at how to pair your qualitative analytics on customer hypotheses with testable analytics. 12 videos1 reading2 assignments3 discussion prompts Why build something no one wants? It seems like an obvious question, yet a lot (probably >50%) of software ends up lightly used or not used at all. This week, we’ll look at how to run fast but definitive experiments to test demand. 14 videos4 assignments1 discussion prompt Strong usability most often comes from ongoing diligence as opposed to big redesigns. Teams that do the hard work of consistently testing usability are rewarded with a consistent stream of customer wins and a culture of experimentation that makes work more enjoyable and rewarding. 15 videos4 assignments1 peer review2 discussion prompts The availability of big data and the ascendance of machine learning can supercharge the way you approach analytics. This week, we're going to learn how data science is changing analytics and how you can create a focused, productive interfaces to a data science capability. 15 videos4 assignments2 discussion prompts

4 modules

Beginner level

https://www.coursera.org/learn/uva-darden-agile-analytics

93%

Linux for Cloud and DevOps Engineers

Enrollment number not found

Rating not found

Packt - Course Instructors

Packt

['DevOps automation', 'AWS Linux', 'Linux EC2', 'Linux for DevOps', 'DevOps Automation', 'Linux system administration']

In this course, you'll dive into the essentials of Linux, specifically tailored for Cloud and DevOps professionals. Starting with an introduction to Linux systems and AWS environments, you’ll quickly move on to creating and managing Linux instances. Through practical examples, you'll learn to establish connections from various operating systems and explore Linux filesystem hierarchies, gaining a strong foundation in operating system management. As you progress, you'll delve into file and directory manipulation, mastering key commands for creating, editing, and organizing your Linux files. You'll also learn how to manage users, permissions, and file ownership—critical tasks in any cloud infrastructure. The course also covers system management, showing you how to monitor processes, gather system information, and manage essential packages for maintaining system performance. By the end of this course, you'll be equipped with advanced knowledge in networking, service management, and process automation, preparing you to manage Linux-based cloud environments efficiently. With step-by-step guidance on common tasks like package installation, networking commands, and archiving, you'll leave with practical skills ready to be applied in any cloud or DevOps role. This course is designed for cloud engineers, DevOps professionals, and system administrators. Prior knowledge of basic cloud concepts and some familiarity with command-line interfaces are recommended but not required. In this module, we will introduce the course, covering fundamental concepts such as the operating system and its relevance in cloud computing. You'll set up your own AWS account, create a Linux EC2 instance, and learn how to connect to the instance using tools compatible with both Windows and Mac. 7 videos1 reading In this module, we will dive into managing files and directories on Linux. You will learn essential commands to create, read, edit, and remove files, as well as manage directories. Mastery of these commands is critical for navigating and maintaining a Linux system effectively. 6 videos In this module, we will explore more advanced file and directory management tasks. You will learn how to copy, move, and rename files, search for specific content within files, and replace words using command-line tools. These skills are vital for efficiently managing large amounts of data. 6 videos1 assignment In this module, we will focus on managing users in a Linux environment. You’ll learn how to create user accounts, manage file permissions, and adjust ownership settings. These skills are essential for maintaining secure and multi-user cloud systems. 6 videos In this module, we will delve into system management by gathering critical system information using various commands. You’ll understand how to monitor your system's resources and identify key performance metrics for better decision-making. 1 video In this module, we will focus on managing software on Linux systems. You'll learn how to install, remove, update, and gather information about packages using the yum command, ensuring your systems are always running the necessary and up-to-date software. 2 videos1 assignment In this module, we will explore networking on Linux systems. You will collect network information using a variety of commands and understand how Telnet works to assist in network troubleshooting and communication. 2 videos In this module, we will manage services on Linux systems. You will learn how to start, stop, and check the status of services, as well as configure how services behave on startup using chkconfig and systemctl. 2 videos1 assignment In this module, we will cover process management in Linux. You’ll explore commands for viewing and controlling running processes, ensuring you can efficiently manage system resources and tasks. 1 video In this module, we will cover several important topics such as archiving files, automating tasks with Crontab, creating file links, and transferring files across platforms. These skills are crucial for maintaining and optimizing workflows in cloud and DevOps environments. 4 videos2 assignments

10 modules

Beginner level

6 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/packt-linux-for-cloud-and-devops-engineers-7plvl

Introduction to Tableau

20,753

4.8

Tableau Learning Partner Instructor

Tableau Learning Partner

['Preprocess Data', 'Data Visualization Fundamentals', 'Data Restructuring']

The Introduction to Tableau course will give you an understanding of the value of data visualizations. You will learn how to preprocess data and how to combine data from multiple tables found within the same data source as well as other data sources in Tableau Public. You will have developed the skills to leverage data visualization as a powerful tool for making informed decisions. This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program. By the end of the course, you will be able to: -Describe the value of data visualizations in the field of business analytics. -Preprocess data in Tableau Public. -Combine data from multiple tables found within the same data source as well as other data sources in Tableau Public. Welcome to the first week of the course! This week, you’ll start with a high-level overview of data visualizations. Specifically, you'll learn what they are and what makes them so powerful and — as a result — why they are such a vital asset when it comes to not only discovering insights but also communicating those insights with stakeholders. The focus will then shift to Tableau, one of the most popular data visualization tools in the analytics industry. In this module, you’ll get signed up with a Tableau Public account and then dive right in by connecting to a data source and exploring the different components of Tableau. 5 videos20 readings4 assignments1 discussion prompt As an analyst, data preparation is the most important step for impactful analysis. Without clean data, you can lead an audience to incorrect conclusions, which can ultimately undermine your credibility and even potentially cause harm. Data cleaning is not a perfect process — a good motto for all analysts is "Question everything!" (Especially your data.) Data preparation is also an iterative process. You start by wrangling dirty data but then move on to smaller, more intentional data preparation — usually to finalize your analysis or prepare your data for an audience. Preparing data in Tableau requires a different, more design-oriented level of scrutiny when compared with file or database cleaning to finalize the data for presentation purposes. This module will teach you concepts that must be implemented in a professional environment, especially if a data visualization is intended for presentation. Remember, without clean, well-prepared data, data visualizations can point to incorrect conclusions. 9 videos16 readings4 assignments As the amount of data in the world exponentially grows, the need for combining data sources becomes ever more critical. Understanding how to combine data sources opens whole new areas of study. As an analyst, your daily tasks will often include combining various data sources in search of new insightful visualizations. When it comes to connecting data sources in Tableau, the amount of data you are connecting can affect the performance of your data visualizations. Because of this, Tableau offers multiple ways to combine data that help analysts optimize workflow and create more efficient data visuals. 7 videos19 readings5 assignments1 discussion prompt

3 modules

Beginner level

https://www.coursera.org/learn/introduction-to-tableau

96%

How to Modernize applications with IBM CICS

Enrollment number not found

Rating not found

Martin Keen

IBM

['Customer Information Control System (CICS)', 'Application Programming Interfaces (API)', 'IT Architect', 'IBM Z', 'Developer']

This course explains why CICS is perfect for powering the next generation of enterprise applications and how you can help build them. IBM CICS is the trusted core of enterprise applications and transaction processing. You will experience writing, updating and running CICS applications as well as the new APIs, capabilities and functions that will allow you to modernize these applications to run as part of a hybrid cloud application. On successful completion of this course, the learners are eligible to claim a badge. More information can be found here: https://www.credly.com/org/ibm/badge/how-to-modernize-applications-with-ibm-cics 4 videos 4 videos 7 videos Successfully complete the quiz to earn your badge 1 assignment

4 modules

Intermediate level

2 hours to complete

https://www.coursera.org/learn/modernize-applications-ibm-cics

Improving Leadership & Governance in Nonprofit Organizations Specialization

14,479

4.5

Prof. Vic Murray, PhD

The State University of New York

['Onboarding', 'Strategic Leadership', 'Management', 'Corporate Governance', 'Leadership Development']

This Specialization consists of three courses plus a Capstone Project: (1) Course 1 topics: The unique nature of the nonprofit sector in society; leadership in nonprofit organizations and the governance process. (2) Course 2 topics: The roles and responsibilities of nonprofit organization boards of directors and the challenges in carrying them out effectively. (3) Course 3 topics: The critical factors that impact the ability of the board to govern and how to intentionally change them into positive influences. The Capstone Project: How to help real boards overcome inertia and resistance to change and improve their governance effectiveness in an applied service learning experience. To learn more about the series of courses, please watch theWelcome Video.Opens in a new tab This course introduces you to the nonprofit sector, nonprofit organizations, and the concepts of leadership and governance. While this course has been developed with North American culture in mind, we do appreciate that in other parts of the world the nature of the nonprofit sector, nonprofit organizations, nonprofit leadership and governance may not be the same. Nevertheless, it is our hope that much of the course content will still be of value to those in other parts of the world. To learn more about this course, please watch the overview video by copying and pasting the following link into your web browser: https://goo.gl/YMg1Qd. Keywords: Nonprofit; Nonprofit Sector; Voluntary Sector; Nonprofit Organizations, Non-Governmental Organizations, Volunteer Organizations, Leadership, Management, Governance, Board, Board of Directors, Performance, Effectiveness Course 1 Overview: Week 1: Some of the questions you will explore this week are: What is the nonprofit sector and why does it exist? What are the unique characteristics of nonprofit organizations? What are the trends and emerging issues facing organizations in the nonprofit sector? Week 2: Questions to be explored this week are: What is leadership at the governance level and how is it different from management? What is good governance and why does it matter? What is a board of directors? Week 3: This week's questions: What roles do board members play in nonprofit organizations? Broadly speaking, what are boards responsible for and how do they go about their work? What are some of the issues that challenge the board's ability to go its work? Week 4: At this stage, you are asked to review the course content, submit a written assignment (known lightheartedly as a BEAR (Board Effectiveness Readiness Assessment), and take two multiple choice Readiness Assurance Tests (known similarly as RATs). One RAT will assess knowledge and reading comprehension and the other will test application of knowledge within a practical case. Week 5: We will encourage you to discuss the RATs in the discussion forums and take them again should you wish to change any of your answers based on the information exchanged. This course provides a more in-depth look at the roles and responsibilities of boards of directors in the governance of nonprofit organizations. While the course has been developed with North American culture in mind, we do appreciate that in other parts of the world, the nature of the roles and responsibilities of boards of directors may not be the same. Nevertheless,it is our hope that much of the course content will still be of value to those in other parts of the world. To learn more about this course, please watch the overview video by copying and pasting the following link into your web browser: https://goo.gl/SXZEZS. Keywords: Nonprofit; Nonprofit Sector; Voluntary Sector; Nonprofit Organizations, Non-Governmental Organizations, Volunteer Organizations, Leadership, Management, Governance, Board, Board of Directors, Performance, Effectiveness Course 2 Overview: Week 1: Some of the questions to be explored this week are: What is the board's role in planning for the organization's future and why is it important for nonprofit organizations to do it? What is strategic planning and what can boards do to carry this out effectively? Week 2: This week's questions: What is the board's role in assessing the performance of the organization? Why is performance assessment important? Why do many boards have difficulty meeting their performance assessment responsibilities? Week 3: This week's questions: What are the elements of the fundraising/resource development process? What is the board's role in ensuring the organization has adequate funding? What information should be in a resource development plan? Week 4: At this stage, you are asked to review the course content, submit a written assignment (known lightheartedly as a BEAR (Board Effectiveness Readiness Assessment), and take two multiple choice Readiness Assurance Tests (known similarly as RATs). One RAT will assess knowledge and reading comprehension and the other will test application of knowledge within a practical case. Week 5: We will encourage you to discuss the RATs in the discussion forums and take them again should you wish to change any of your answers based on the information exchanged. The third course in this Specialization introduces you to the factors that influence how effective boards of directors will be in carrying out their roles and responsibilities and hence the impact they have in shaping the success of the organization they govern. While this course has been developed with North American culture in mind, we do appreciate that, in other parts of the world, the nature of the factors that influence the effectiveness of nonprofit boards of directors may vary. Nevertheless,it is our hope that much of the course content will still be of value to those in other parts of the world. To learn more about this course, please watch the overview video by copying and pasting the following link into your web browser: https://goo.gl/aAMIfl. Keywords: Nonprofit; Nonprofit Sector; Voluntary Sector; Nonprofit Organizations, Non-Governmental Organizations, Volunteer Organizations, Leadership, Management, Governance, Board, Board of Directors, Performance, Effectiveness Course 3 Overview: Week 1: This week's questions: What factors influence the effectiveness of board meetings? What are the formal procedures and structures within the board that impact its performance? What can a board do to intentionally improve the way it structures itself and runs its decision making meetings? Week 2: This week's questions: What do we mean by board composition and development and why is it important? Why is it difficult to change the composition of the board? How do you design the ideal mix of board members? How do you locate, recruit and develop board members? Week 3: This week's questions: What do we mean by the "culture" of the board and why is it important? How do boards develop and pass along culture? Can board cultures be intentionally changed? What is the role of leadership in shaping board culture? What do effective nonprofit leaders involved in governance do? How can leadership be managed for higher performance? Week 4: At this stage, you are asked to review the course content, submit a written assignment (known lightheartedly as a BEAR (Board Effectiveness Readiness Assessment), and take two multiple choice Readiness Assurance Tests (known similarly as RATs). One RAT will assess knowledge and reading comprehension and the other will test application of knowledge within a practical case. Week 5: We will encourage you to discuss the RATs in the discussion forums and take them again should you wish to change any of your answers based on the information exchanged. The Capstone Project is a service learning experience designed to apply the knowledge and skills developed in the three Specialization courses to a real world leadership and governance situation. It is also intended to develop the participant's capability to act as an agent for positive change in nonprofit organizations. To this end, you will analyze the leadership and governance effectiveness of a real board of directors in an organization of your own choosing (or, if that is not possible, data gathered from a real board provided by the course instructors). By the end of the Capstone Project, you will have produced a professional consulting report detailing your analysis and recommendations to improve board leadership and governance effectiveness. You will then present it to the board and advise them on implementing change. To learn more about this course, please watch the overview video by copying and pasting the following link into your web browser: https://goo.gl/GTWrN2 Keywords: Nonprofit; Nonprofit Sector; Voluntary Sector; Nonprofit Organizations, Non-Governmental Organizations, Volunteer Organizations, Leadership, Management, Governance, Board, Board of Directors, Performance, Effectiveness Capstone Project Overview: Weeks 1-3: This period will be spent choosing a board of a nonprofit organization and gathering information using two specially designed tools and resources: The SUNY Open textbook (to download the book copy and paste the following link into your browser: http://tinyurl.com/peolnjb), "Guidelines for Improving the Effectiveness of Boards of Directors of Nonprofit Organizations", and The Board Check-Up, online board performance self-assessment tool that can be accessed by copying and pasting this link into your browser: https://www.boardcheckup.com. Weeks 4-5: In this phase, the information gathered will be analyzed leading to an evaluation of the board's effectiveness in the different dimensions of board effectiveness examined in the Specialization courses. Weeks 6-8: In the final phase of the Project, the results of the analysis and recommendations for positive change will be brought together a specially prepared consulting report intended for the use of the board of the client organization.

4 course series

Beginner level

3 months (at 10 hours a week)

https://www.coursera.org/specializations/nonprofit

Database Management Essentials

197,157

4.6

Michael Mannino

University of Colorado System

['Database (DB) Design', 'Entity–Relationship (E-R) Model', 'Database (DBMS)', 'SQL']

Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle, MySQL, or PostgreSQL to execute SQL statements and a database diagramming tool such as the ER Assistant or Visual Paradigm to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle, MySQL, or PostgreSQL. Module 1 provides the context for Database Management Essentials. When you’re done, you’ll understand the objectives for the course and know what topics and assignments to expect. Keeping these course objectives in mind will help you succeed throughout the course! You should read about the database software requirements in the second lesson of module 1. I recommend that you try to install the DBMS software this week before assignments begin in module 3. 4 videos5 readings You will launch into an exploration of databases and database technology and their impact on organizations in Module 2. You will investigate database characteristics, database technology features, including non-procedural access, two key processing environments, and an evolution of the database software industry. This short informational module ensures a common background and context, important for success in later modules that emphasize details and hands-on skills. 7 videos8 readings2 assignments Now that you have the context for database features and environments, you’ll start building! In this module, you’ll learn relational data model terminology, integrity rules, and the CREATE TABLE statement. You’ll apply what you’ve learned in practice and graded problems using a database management system (DBMS), either the Oracle Cloud database server with the SQL Developer client or the PostgreSQL database server with the pgAdmin client. You will use the SQL CREATE TABLE statement and populate your tables using given SQL INSERT statements. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material. 5 videos12 readings3 assignments This module is all about acquiring query formulation skills. Now that you know the relational data model and have basic skills with the CREATE TABLE statement, we can cover basic syntax of the SQL SELECT statement and the join operator for combining tables. SELECT statement examples are presented for single table conditions, join operations, and grouping operations. You’ll practice writing simple SELECT statements using the tables that you created in the assignment for module 3. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material. 5 videos12 readings3 assignments Now that you can identify and use the SELECT statement and the join operator, you’ll extend your problem solving skills in this module so you can gain confidence on more complex queries. You will work on retrieval problems with multiple tables and grouping. In addition, you’ll learn to use the UNION operator in the SQL SELECT statement and write SQL modification statements. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material. 6 videos13 readings3 assignments Module 6 represents another shift in your learning. In previous modules, you’ve created and populated tables and developed query formulation skills using the SQL SELECT statement. Now you’ll start to develop skills that allow you to create a database design to support business requirements. You’ll learn basic notation used in entity relationship diagrams (ERDs), a graphical notation for data modeling. You will create simple ERDs using basic diagram symbols and relationship variations to start developing your data modeling skills. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material. 4 videos8 readings2 assignments Module 7 builds on your knowledge of database development using basic ERD symbols and relationship variations. You will be practicing precise usage of ERD notation and basic problem solving skills. You will learn about diagram rules and work problems to help you gain confidence using and creating ERDs. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material. 6 videos10 readings2 assignments In Module 8, you’ll use your ERD notation skills and your ability to avoid diagram errors to develop ERDs that satisfy specific business data requirements. You will learn and practice powerful problem-solving skills as you analyze narrative statements and transformations to generate alternative ERDs. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material. 4 videos8 readings2 assignments Now that you have practiced data modeling techniques, you’ll get to wrestle with narrative problem analyses and transformations for generating alternative database designs in Module 9. At the end of this module, you’ll learn guidelines for documentation and detection of design errors that will serve you well as you design databases for business situations. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material. 3 videos7 readings2 assignments Modules 6 to 9 covered conceptual data modeling, emphasizing precise usage of ERD notation, analysis of narrative problems, and generation of alternative designs. Modules 10 and 11 cover logical database design, the next step in the database development process. In Module 10, we’ll cover schema conversion, the first step in the logical database design phase. You will learn to convert an ERD into a table design that can be implemented on an SQL DBMS. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material. 3 videos7 readings2 assignments Module 11 covers normalization, the second part of the logical database design process. Normalization provides tools to remove unwanted redundancy in a table design. You’ll discover the motivation for normalization, constraints to reason about unwanted redundancy, and rules that detect excessive redundancy in a table design. You’ll practice integrating and applying normalization techniques in the final lesson of this course. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material. 5 videos9 readings2 assignments Module 12 provides optional advanced material on query formulation for learners who seek expert level knowledge and skills. Advanced query formulation can provide an edge in the workplace helping learners reach expert status with more value to an organization. Due to the advanced material, Module 12 provides Lesson 6 as honors with problems, quiz, assignment, and self evaluation. Module 12 covers four somewhat independent topics (outer joins, nested queries, membership exceptions, and containment exceptions) so learners can study these topics separately. These specialized problem areas, more difficult than combining tables with joins, provide important value to organizations when occurring in practice. To aid learners, Module 12 provides unique pedagogy with two problem-solving aids, text patterns to recognize elements of in problem statements and statement patterns to write template SELECT statements as an initial step to a complete SELECT statement. Lesson 5 provides a convenient summary of the text and statement patterns to provide learners a platform for the practice problems and assignment. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material. 8 videos13 readings2 assignments

12 modules

Intermediate level

https://www.coursera.org/learn/database-management

95%

Pharmacy Syringes, Compounding Medications, & Communication

Enrollment number not found

Rating not found

Dr. Sherrie B. Moore

MedCerts

['Effective Communication in Pharmacy', 'Compounding Regulations Compliance', 'Patient-Centric Empathy', 'Insulin Administration', 'Medication Compounding Techniques']

Students will learn essential practices with our Pharmacy Syringes, Compounding Medications and Communication course. Through the first lesson on insulin and syringes, students build an understanding of the intricacies of insulin administration techniques and syringe utilization for optimal patient care. Next, they will discover the regulatory landscape and crucial considerations in compounding medications, ensuring compliance and safety in the lesson on compounding regulations and considerations. Students then dive deeper into compounding techniques in the compounding medications lesson, honing skills in preparing specialized medications tailored to patient needs. Beyond technical expertise, this course emphasizes the human aspect of pharmacy. Students learn how essential empathy is in patient interactions through lessons focusing on patient empathy, as well as communication and telephone techniques. This course integrates technical proficiency, regulatory understanding, patient-centricity, and effective communication, empowering pharmaceutical professionals with a holistic skill set crucial for exceptional patient care and successful pharmacy practice. Course Objectives included: -Explain the various types of insulin strengths and additives, syringe and needle sizing, injection sites, and insulin pumps -Discuss compounding medications, as well as the associated regulations and manufacturing guidelines -Identify the principles of compounding solids, semi-solids, powders, coloring, flavoring, ointments, and other dosage forms -Explain the importance of empathy when dealing with patients by discussing the pathophysiology of disease -Explore the communication process, the various aspects of verbal and non-verbal communication, active listening, open-ended questions, and motivational interviewing Learn about the chronic metabolic disease of Diabetes, its treatment with insulin, various types of insulin strengths and additives, syringe and needle sizing, injection sites, and insulin pumps. Additionally, become familiar with compounding medications, the associated regulations and manufacturing guidelines, ingredient standards, quality assurance and control, packaging, temperature, storage and labeling, stability and beyond-use dates, and other considerations. 10 videos3 readings4 assignments Explore further topics related to the principles of compounding, solids, semi-solids, powders, coloring, flavoring, ointments, and other dosage forms, as well as the calculations needed for mixing specific drugs in exact dosage and strength. 7 videos1 reading4 assignments2 plugins Convey the importance of empathy when working with patients by discussing the pathophysiology of disease and how disease processes affect the patient, as well as the ways the pharmacy technician can show empathy, acknowledge the patient's point of view, and identify and addressed the needs of the patient. Additionally, become familiar with the communication process, the various aspects of verbal and non-verbal communication, active listening, open-ended questions, and motivational learning. Learn about the importance of effective telephone communication, tips for excellent customer service, and handling difficult communication. Finally, complete a Peer Review experience which serves as a capstone experience for MedCerts' Pharmacy Technician Intermediate Specialization on Coursera. 6 videos3 readings4 assignments1 peer review

3 modules

Intermediate level

11 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/pharmacy-syringes-compounding-medications-and-communication

Comfort in Buildings

Enrollment number not found

4.8

Subject Matter Expert

L&T EduTech

['Design of sustainable building using Indian green building rating systems (IGBC and GRIHA)']

The course provides a comprehensive overview of sustainability in construction, emphasizing the depletion of natural resources, global energy utilization, and challenges faced. It explores site selection parameters, the impact on the environment, and methods for preserving site resources. The integrated design approach and its benefits are discussed, along with the importance of basic amenities and the urban heat island effect. The course covers various aspects of building environmental considerations, focusing on heat transfer, thermal and visual comfort, and sustainable building practices. Heat transfer is explained through conduction, convection, and radiation, with a specific emphasis on heat gain in buildings, both internal and external. The discussion extends to thermal comfort, considering factors influencing human perception of heat and cold, and includes models for air-conditioned and non-air-conditioned spaces. Visual comfort is explored in terms of lighting design, covering daylighting strategies and artificial lighting parameters in compliance with building codes. The module offers a comprehensive overview of sustainability, highlighting its significance and the challenges encountered in the field of construction. It delves into the depletion of natural resources resulting from human activities, analyzes global energy consumption across various sectors, and anticipates future energy demands in India, all while exploring diverse energy sources. The discussion encompasses criteria for site selection, emphasizing its importance and examining various types of sites and their environmental impacts. The module also imparts knowledge on strategies for preserving site resources such as topsoil, water bodies, and plantations. Additionally, it provides a concise introduction to the integrated design approach, aligning project requirements with its associated benefits. The importance of basic amenities in proximity to buildings and an exploration of the urban heat island effect are also included in the discourse. 12 videos1 reading1 assignment Heat transfer involves the exchange of thermal energy between two distinct systems. The principles of thermodynamics elucidate the modes of heat transfer, namely conduction, convection, and radiation. This module focusing on heat transfer within buildings provides an overview of internal and external heat gain. External heat gain, originating from building components like roofs, walls, fenestration, as well as through ventilation and air leakage, is thoroughly explained, accompanied by examples and precise calculations of the heat absorbed by these elements. Additionally, the reasons behind internal heat gain in a building are explored, along with the determination of the heating and cooling loads necessary to condition a space for the occupants' comfort. 16 videos1 assignment Thermal comfort pertains to the subjective sensation experienced by the human body resulting from the influence of heat and cold sources in the surrounding environment. This module commences with a fundamental introduction to thermal comfort, elucidating the key parameters that shape its perception. The module also explores factors contributing to local thermal discomfort. Psychrometry, the study of thermodynamic properties of air and water vapor mixtures, is comprehensively explained using a psychrometric chart. The application of psychrometry in processes such as heating, cooling, humidification, and dehumidification is detailed, accompanied by illustrative examples. Thermal comfort models are examined for both air-conditioned and non-air-conditioned spaces. 9 videos1 assignment Visual comfort encompasses an individual's response to the lighting conditions within a space, characterized by adequate illumination, contrast, color, and the presence or absence of glare. This module on visual comfort introduces the fundamentals of lighting and the terminology employed in lighting design. Strategies for both daylighting and artificial lighting within a building are elucidated. The module delves into the aspects of daylighting for buildings, offering a detailed explanation of daylighting control strategies. Additionally, it outlines the various types of artificial lighting based on tasks. The design of artificial lighting is explored, and the necessary parameters, in accordance with the provisions outlined in the National Building Code (NBC), 2016, and the Energy Conservation Building Code (ECBC), are elaborated upon with the aid of examples. 14 videos1 assignment

4 modules

Intermediate level

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/comfort-in-buildings

Healthcare Data Models

8,196

4.6

Doug Berman

University of California, Davis

[]

Career prospects are bright for those qualified to work in healthcare data analytics. Perhaps you work in data analytics, but are considering a move into healthcare where your work can improve people’s quality of life. If so, this course gives you a glimpse into why this work matters, what you’d be doing in this role, and what takes place on the Path to Value where data is gathered from patients at the point of care, moves into data warehouses to be prepared for analysis, then moves along the data pipeline to be transformed into valuable insights that can save lives, reduce costs, to improve healthcare and make it more accessible and affordable. Perhaps you work in healthcare but are considering a transition into a new role. If so, this course will help you see if this career path is one you want to pursue. You’ll get an overview of common data models and their uses. You’ll learn how various systems integrate data, how to ensure clear communication, measure and improve data quality. Data analytics in healthcare serves doctors, clinicians, patients, care providers, and those who carry out the business of improving health outcomes. This course of study will give you a clear picture of data analysis in today’s fast-changing healthcare field and the opportunities it holds for you. In this module, you will be able to define the foundational terms used in discussing and building healthcare data models. You'll be able to describe the conceptual model showing how data flows from operations to analysis. You will compare and contrast common data models used in healthcare data systems. You will also be able to identify common measures used in healthcare data analysis. 10 videos1 reading1 assignment3 discussion prompts In this module, you'll be able to describe the Star Schema Data Model, distinguish it from the hierarchical and relational model, list some pros and cons and explain situations in which it could be appropriately used. You should also recognize when another type of data model might be better suited to a particular use case. 6 videos1 assignment2 discussion prompts In this module, you'll be able to explain how information is stored in data models and how we assemble relevant information to analyze an interesting problem that can improve our healthcare systems. We'll review how we normalize data and how that facilitates analysis. We'll go on to discuss how to bring together information from different sources and across various functional systems. We will also consider how to measure it accurately. 5 videos1 assignment2 discussion prompts In this module, you will be able to examine the data that goes into these models and explain how we work with the information that comes from the practice and business of medicine. We will transition from raising the data quality to focusing on finding and correcting data errors by validation and verification. You will also be able to describe several ways data is checked to eliminate errors and improve data quality. 5 videos3 readings1 assignment1 peer review2 discussion prompts

4 modules

Intermediate level

11 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/healthcare-data-models

AWS: Security and Cost Optimization strategies

Enrollment number not found

Rating not found

Whizlabs Instructor

Whizlabs

['AWS pay-as-you-go model']

AWS: Security and Cost Optimization Strategies Course is the third course of Exam Prep: AWS Certified SysOps Administrator - Associate Specialization. This course focuses on cost optimization and the efficient use of various AWS services. By the end of this course, you will be able to: - Understand pay-as-you-go model. - Identify cost optimization strategies in AWS. - Identify AWS and customer responsibilities respectively. To succeed in this course, you should have basic knowledge of AWS Budgets and Billing Dashboard. One should have knowledge of Security & Compliance concepts in AWS. The course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 2:30-3:00 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module in order to test the ability of learners. Welcome to Week 1 of the AWS: Security and Cost Optimization Strategies. This week, we will be introduced to some cost optimization strategies using EC2 instances pricing and AWS Cost Explorer. We will also explore cost-related features like Consolidated Billing and Tagging in AWS. By the end of the week, we should have a good understanding of how to optimize cost. 8 videos3 readings2 assignments1 discussion prompt Welcome to Week 2 of the AWS: Security and Cost Optimization Strategies. This week, we will be introduced to some security best practices using AWS IAM and AWS Shared Responsibility Model. We will also explore data protection strategies and disaster recovery techniques in AWS. By the end of the week, we should have a good understanding of how to effectively apply security best practices. 7 videos3 readings3 assignments

2 modules

Beginner level

4 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/aws-security-and-cost-optimization-strategies

FL Studio Basics

5,323

4.5

Rishabh Rajan

Berklee

['Music composition', 'Music production', 'Sampling Audio', 'Mixing']

FL Studio is one of the most powerful digital audio workstations (DAW) on the market today. This music software has come a long way since entering the market as “FruityLoops” at the turn of the century: It now has functions that can take your music project from a scratch track to a mastered mix, and even allows you to create visuals to accompany your audio. This course is designed to take you through the basics of using FL Studio and show you what makes it unique from other DAWs out there. You will start by learning the primary windows and functions in FL Studio before practicing recording with audio and MIDI. Finally, we will broadly cover mixing and mastering a musical project. By the end of this course, you will be able to take your musical ideas from basic beginnings to a mastered final product. Welcome to the course! Here we will cover all the details about the course and what you'll need to know to get the most out of your experience. 1 video5 readings1 assignment In lesson 1, we will start with an overview of the FL Studio interface, identifying the main windows and how to use them. We will then begin to use the four main windows in FL Studio to better understand their functions in music production. Finally, we will begin to create a new musical piece from scratch. 6 videos2 assignments1 peer review1 discussion prompt In this second lesson, we will cover using MIDI in FL Studio. We will start by setting up a MIDI controller and learning how to record MIDI into FL Studio. We will then go over MIDI mapping and automation. Finally, we will learn about effects and using creative effects processing to make original sounds for our music. 6 videos1 reading2 assignments1 peer review1 discussion prompt In lesson 3, we will switch to working and recording with audio. We will start by setting up an audio interface in FL Studio before recording audio into the Playlist. We will then practice looping audio and comping as well as sampling and slicing the audio we record. Finally, we will learn how to create our own custom sounds using audio. 6 videos2 assignments1 peer review1 discussion prompt In our final lesson, we will look at the mixing and mastering possibilities available in FL Studio. As I've mentioned, FL Studio has been used by many professional music producers, and you will see why when we begin to practice mixing and mastering in this lesson. We will start by covering some of the basics in mixing before moving on to mastering fundamentals. By the end of this lesson, you will be able to mix and then master one of your original creations. 7 videos1 reading2 assignments1 peer review1 discussion prompt

5 modules

Intermediate level

12 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/fl-studio-basics

Transgender Medicine for General Medical Providers

6,315

4.8

Joshua D Safer, MD

Icahn School of Medicine at Mount Sinai

[]

The course is a comprehensive set of didactic lectures surveying fundamentals of transgender medical and surgical treatment. The material is meant to provide the student with core knowledge that is essential for current primary care providers caring for transgender patients. There are 10 modules led by the expert clinical faculty from the pioneering Center for Transgender Medicine and Surgery, located within the Mount Sinai Health System and the Icahn School of Medicine at Mount Sinai in New York City. The course begins with an introduction to frame the sea change that has taken place in the current medical practice of transgender health care. Subsequent modules allow individuals to learn key elements necessary to provide quality transgender medical care. As a whole, the modules provide an opportunity to develop a knowledgeable approach to behavioral health, primary care, hormone therapy, and the surgical options. Module 1: Introduction - Joshua D Safer Module 2: Making the Determination - Hansel Arroyo Module 3: Primary Care for Transgender Women - Zil Goldstein Module 4: Primary Care for Transgender Men - Zil Goldstein Module 5: What are the Essential Strategies to Transgender Hormone Therapy? - Joshua D Safer Module 6: Initiation and Maintenance of Hormones for the Trans Masculine Patient - Joshua D Safer Module 7: Initiation and Maintenance of Hormones for the Trans Feminine Patient -Joshua D Safer Module 8: Transgender Surgery: Chest & Face - Bella K Avanessian Module 9: Transmasculine Genital Surgery - Bella K Avanessian Module 10: Transfeminine Genital Surgery - Bella K Avanessian 1 video5 readings1 assignment 1 video1 reading1 assignment 1 video1 reading1 assignment 1 video1 reading1 assignment 1 video1 reading1 assignment 1 video1 reading1 assignment 1 video1 reading1 assignment 1 video1 reading1 assignment 1 video1 reading1 assignment 1 video1 reading1 assignment

10 modules

Beginner level

6 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/transgender-medicine

Introduction to Cosmetic and Skincare Science

10,550

4.7

Dr. Rolanda Wilkerson

Olay

['Hair Care', 'Skin Care', 'Suncare', 'Safety Regulations', 'Cosmetic Ingredients']

Our first course, Introduction to Cosmetic and Skin Care Science, provides a bird's eye view of the cosmetics landscape, from cosmetics’ role in human culture and ancient remedies to the present-day multibillion-dollar industry. We aim to give you an overview of the historical, cultural, and technological aspects of cosmetic product development. We cover topics such as skin biology, skin conditions and treatments, cosmetic raw materials and choice of ingredients, and the scientific principles that drive the creation of a cosmetic formula. You will also get a strong sense of how important safety considerations are to ensure the wellness of our consumers. In Module 1, we start by unfolding the history of cosmetics. We explore the cultural and technological evolution of cosmetics, from ancient rituals to contemporary practices. The landscape of the cosmetic industry is a walkthrough of the global market dynamics, stakeholders’ roles, and regulatory influences that define the current cosmetics landscape. We end this module by investigating cutting-edge technologies, sustainable initiatives, and the ever-evolving consumer preferences shaping the future of cosmetics. 10 videos5 readings4 assignments1 discussion prompt In this module on skin biology, we delve into the intricate layers of the skin, including the epidermis, dermis, and hypodermis, to understand their crucial roles in maintaining skin health and function. Exploring the dynamic processes of skin aging, we analyze the impact of intrinsic and extrinsic factors on the skin's structure and appearance. Additionally, we investigate the intricate relationship between the skin and its microbiome, highlighting the pivotal role of diverse microbial communities in regulating skin health and immunity. 14 videos3 readings5 assignments In the field of cosmetology, a comprehensive understanding of the categories of cosmetic raw materials is crucial. By considering the diverse functions of these ingredients and the intricate balance between synthetic and natural elements, one can navigate the ongoing debate around natural and synthetic cosmetic products. Careful considerations of ingredients in cosmetics help ensure the development of safe and effective formulations, fostering a holistic approach to product innovation and consumer well-being. 8 videos2 readings3 assignments1 discussion prompt Grasping the fundamentals of crafting cosmetics is essential in the field of beauty products. It begins with understanding the process of creating various products for diverse consumer needs and preferences. However, it's not just about aesthetic appeal—ensuring their safety and longevity is crucial. This is why conducting thorough stability and safety assessments is vital to comply with regulations and ensure consumer satisfaction with the products. 9 videos4 readings3 assignments Students can describe and identify four common skin conditions and how the cosmetics industry combats the harmful effect of sun exposure on our skin. 8 videos4 readings5 assignments1 discussion prompt

5 modules

Beginner level

13 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/introduction-to-cosmetic-and-skin-care-science

Wilderness First Aid - Environmental Emergencies

Enrollment number not found

4.9

A.W. Lukens

University of Colorado System

[]

In this course, students will learn about environmental injuries, how to treat them, and what conditions require evacuation. This will include animal bites/stings, and temperature-related emergencies, such as those that are heat or cold-related, lightning, altitude, and drowning. Students will also learn about important aspects of camp hygiene, and what to do in the event that evacuation is needed. In this module, we will talk about camp hygiene and sanitation. We will also discuss methods of water treatment to ensure that your water is safe to use and drink. 2 videos3 readings1 assignment In this module, we will talk about environmental emergencies, including those that are heat-related, and cold-related. We will discuss how to treat and prevent each type of emergency. 5 videos3 readings4 assignments In this module, we will learn about lightning and altitude. This includes altitude-related emergencies, such as Acute Mountain Sickness (AMS), High Altitude Cerebral Edema (HACE) and High Altitude Pulmonary Edema (HAPE). With each condition, we will teach about prevention methods and treatment.We will also discuss what to do when you’re caught in a lightning storm, how to best prevent being struck by lightning, what to do in the event that you are injured by lightning. 3 videos2 readings3 assignments In this module, we will talk about drowning emergencies, how to prevent them, and what to do to rescue and treat someone who has been involved in a drowning emergency. 2 videos2 readings2 assignments

4 modules

Beginner level

8 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/wilderness-first-aid-environmental-emergencies

Python Basics: Selection and Iteration

7,842

4.6

Elise Deitrick

Codio

['Computer Science', 'Python Programming', 'Iteration', 'variable (computer science)', 'Conditionals (Computer Science)']

Code and run your first python program in minutes without installing anything! This course is designed for learners with no coding experience, providing a solid foundation of not just python, but core Computer Science topics that can be transferred to other languages. The modules in this course cover printing, operators, iteration (i.e., loops), and selection (i.e., conditionals). To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Welcome to Week 1 of the Python Basics: Selection and Iteration course. These assignments cover the concepts of printing, variables, and comments. The module ends with a lab and graded coding exercises. 5 readings4 app items Welcome to Week 2 of the Python Basics: Selection and Iteration course. These assignments cover the concepts of arithmetic operators (+, -, *, /, and %) and boolean operators (and, or, not) to manipulate data stored in variables. The module ends with a lab and graded coding exercises. 3 readings4 app items Welcome to Week 3 of the Python Basics: Selection and Iteration course. These assignments cover the concepts of making decisions using conditionals so your script can produce different output based on data. The module ends with a lab and graded coding exercises. 5 readings6 app items Welcome to Week 4 of the Python Basics: Selection and Iteration course. These assignments covers the different types of loops to repeat sections of your program without copying-and-pasting the same lines over-and-over again. The module ends with a lab and graded coding exercises. 4 readings5 app items

4 modules

Beginner level

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/codio-python-basics

Make the Sale: Build, Launch, and Manage E-commerce Stores

142,387

4.8

Google Career Certificates

Google

['E-Commerce Strategy', 'Seasonality', 'E-commerce platforms', 'Fulfillment and delivery', 'Website Structure']

Make the Sale: Build, Launch, and Manage E-commerce Stores is the sixth of seven courses in the Google Digital Marketing & E-commerce Certificate. This course explores how businesses and individuals sell products online, including using popular platforms like Shopify. You’ll go through the process of creating a mock e-commerce store. To do this, you’ll build a Shopify store, add the necessary information, and create product listings. You’ll explore how to reach customers online through e-commerce customer outreach methods like advertisements and campaigns. Google employees who currently work in the field will guide you, providing hands-on activities and examples that simulate common digital marketing and e-commerce tasks while showing you some of the best tools and resources used on the job. Learners who complete the seven courses in this program will be ready to apply for entry-level jobs in digital marketing and e-commerce. No previous experience is necessary. By the end of this course, you will be able to do the following: - Understand essential e-commerce strategies and practices - Explain how to conduct market research and product research - Set up a mock e-commerce store using Shopify - Use Google Ads to engage e-commerce customers - Explain how trends and seasonality affect e-commerce businesses - Use best practices to create an engaging customer experience online - Describe the order fulfillment process through checkout, point of sale (POS), shipping, and delivery. - Optimize a checkout flow for customers You will explore the field of e-commerce and learn about the benefits of selling products online. You’ll study the common terms, tools, roles, and strategies that are used in e-commerce. Then, you’ll learn how to begin an e-commerce project using market research, competitive analysis, target audience identification, product research, product sourcing, and brand strategy. 13 videos11 readings4 quizzes1 plugin You will learn about different e-commerce stores, including Shopify. You’ll learn about creating, designing, and optimizing an online store to sell products. Then, you’ll build a mock Shopify store and create product listings for it. 10 videos10 readings2 quizzes You will discover how to reach customers online through methods like advertisement campaigns and examine the benefits of online advertising. Then, you’ll explore how seasonality affects e-commerce businesses. Finally, you’ll learn how to optimize an e-commerce marketing strategy to meet campaign goals. 9 videos9 readings6 quizzes1 plugin You will learn how to engage with customers online. You’ll explore how the online checkout process works and how to entice customers to purchase a product. You’ll also learn how to move customers efficiently through the flow of a Shopify store. You’ll end the course by learning about the importance of creating a successful path to purchase for customers and how the order fulfillment and shipping process works. 8 videos9 readings1 quiz1 assignment2 plugins

4 modules

Beginner level

https://www.coursera.org/learn/make-the-sale

99%

Algal Blooms and Proliferations

Enrollment number not found

Rating not found

Ira "Ike" Levine

University of California San Diego

[]

This course is intended to provide information to the general public who may be curious after seeing a TV clip or read a news article about harmful algal bloom. It will cover 13 of the known toxins associated with harmful algae, their impacts on human and animal health, and how we detect those toxins and their associated algae. Harmful and nuisance algae are a global phenomenon. They are found in marine and freshwater systems. They can impact human and animal health, the food supply, the water supply, and tourism. Lastly, this course will discuss the different techniques used for mitigating the presence of harmful algae, their impact on water bodies and recreation, as well as how they might be in your food. It is intended to follow up our first three courses: Introduction to algae, Algal biotechnology, and Introduction to seaweeds. This course was produced by the Algae Technology Educational Consortium and UC San Diego with funding from the Algae Foundation, the National Renewable Energy Lab, and the U.S. Department of Energy. This section will provide a brief introduction to the course as well as background information on algal blooms and proliferations. 5 videos8 readings4 assignments This section will cover 13 different kinds of algal toxins, the algae that are responsible for their production, and their impacts on human and animal health. 12 videos22 readings12 assignments Algal blooms are cosmopolitan and increasing in presence globally. This section will cover methods for monitoring and mitigating blooms. 6 videos11 readings6 assignments This last section includes how algae impact more than just our waterbodies, from our food to the economy. 2 videos4 readings2 assignments

4 modules

Intermediate level

23 hours to complete (3 weeks at 7 hours a week)

https://www.coursera.org/learn/harmful-algal-blooms

IBM Back-End Development Professional Certificate

20,237

4.7

IBM Skills Network Team

IBM

['Django (Web Framework)', 'Mongodb', 'Docker', 'Flask', 'Representational State Transfer (REST)', 'Object Relational Mapping (ORM)', 'Relational Database (RDBMS)', 'SQL', 'Back-End Applications', 'Observability']

Prepare for a career in the high-growth field of software development. In this program, you’ll develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry level back-end developer in as little as 6 months. Back-end developers are the experts who build and maintain the mechanisms that process data and perform actions behind websites, and the demand for these professionals has never been greater. You’ll learn the latest tools and technologies used by professional back-end developers, including Linux scripting, Git and GitHub, Python, SQL, Databases, Django, Containers with Docker, Kubernetes, and OpenShift, Microservices, Serverless, as well as Application Security, and Monitoring. You will practice working hands-on with these technologies to build the type of server-side systems and services that power modern web and mobile applications. Upon completing the full program, you will have built a portfolio of projects to provide you with the confidence to excel in your interviews and you’ll receive a Professional Certificate from IBM to showcase your proficiency to potential employers. You will also receive access to join IBM’s Talent Network where you’ll receive job opportunities as soon as they are posted, recommendations matched to your skills and interests, and tips and tricks to help you stand apart from the crowd. Applied Learning Project Throughout the professional certificate, there are ample opportunities to apply skills learned through labs and projects. Projects include: Developing shell scripts for repetitive tasks like backing up files Creating and sharing open-source projects on GitHub Developing a Python application with endpoints that translate between English to French Refining code and hosting an application using IBM Cloud and Cloud Foundry while enabling CI/CD to ensure changes are automatically deployed Adding a feature to an online course by leveraging Django full-stack skills Building and deploying a guestbook that rolls out updates using Openshift image streams and a multi-tier versioning of the guestbook Developing a back-end application that displays song lyrics, band photos, and sells concert tickets by creating and integrating a Mongo database, a Flask service, and a Django application Identifying and analyzing a software engineering job posting Describe software engineering, Software Development Lifecycle (SDLC), and software development tools, technologies and stacks. List different types of programming languages and create basic programming constructs such as loops and conditions using Python. Outline approaches to application architecture and design, patterns, and deployment architectures. Summarize the skills required in software engineering and describe the career options it provides. Describe the Linux architecture and common Linux distributions and update and install software on a Linux system. Perform common informational, file, content, navigational, compression, and networking commands in Bash shell. Develop shell scripts using Linux commands, environment variables, pipes, and filters. Schedule cron jobs in Linux with crontab and explain the cron syntax. Describe version control and its place in social and collaborative coding and in DevOps. Explain basic Git concepts such as repositories and branches used for distributed version control and social coding. Create GitHub repositories and branches, and perform pull requests (PRs) and merge operations, to collaborate on a team project. Build your portfolio by creating and sharing an open-source project on GitHub. Learn Python - the most popular programming language and for Data Science and Software Development. Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes. Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks. Access and web scrape data using APIs and Python libraries like Beautiful Soup. Describe the steps and processes involved in creating a Python application including the application development lifecycle Create Python modules, run unit tests, and package applications while ensuring the PEP8 coding best practices Explain the features of Flask and deploy applications on the web using the Flask framework Create and deploy an AI-based application onto a web server using IBM Watson AI Libraries and Flask Explain what a database is and create an entity relationship data model for a relational database. Compose SQL queries to insert, select, update, and delete data in a database. Use Django ORM to build object-oriented databases. Integrate Bootstrap into your Django template and build interactive web pages. Using containers, learn how to move applications quickly across any environment. Build cloud native applications using Docker, Kubernetes, OpenShift, and Istio. Describe and leverage Kubernetes architecture to set up and use an entire lifecycle-based container management system. Create and leverage a YAML deployment file to configure and create resources such as pods, services, replicasets, and others in a declarative way. Summarize the fundamentals of Microservices, their advantages, and contrast with monolithic architectures. Create REST API endpoints and invoke them using cURL and Postman; Use SwaggerUI to document and test APIs. Create, and deploy microservices using Docker containers and serverless technologies like IBM Code Engine. Practice hands-on with labs and projects using a no-charge cloud-based environment. Explain security by design, learn to develop applications using security by design principles; perform defensive coding following OWASP principles. Describe IBM cloud container vulnerability; perform vulnerability scanning and pen testing with Kali Linux. Describe what to look for in app performance; perform troubleshooting using logging, stack trace, and log analytics. Discuss concepts like Golden Signals; list tools for monitoring and troubleshooting; and test monitoring in action with Prometheus and Grafana. Explain the importance of monitoring and describe concepts like Golden Signals Demonstrate your knowledge of observability with Instana and explain the pillars of observability, cloud native observability, and types of sampling Implement logging and demonstrate your knowledge of telemetry using OpenTelemetry and tracing using Kubernetes Develop hands-on experience with a variety of tools such as Prometheus, Grafana, Mezmo (LogDNA), OpenTelemetry, and Instana Demonstrate proficiency to develop and deploy backend services and applications Apply your back-end development skills to author microservices and REST APIs in Flask Create and query databases like MongoDB and integrate with Django apps Containerize microservices using Docker and deploy using Kubernetes, OpenShift and serverless

11 course series

Beginner level

12 months (at 10 hours a week)

https://www.coursera.org/professional-certificates/ibm-backend-development

Flutter and Dart: Developing iOS, Android, and Mobile Apps

Enrollment number not found

Rating not found

IBM Skills Network Team

IBM

['IOS Applications', 'Software Development', 'Android Apps']

“Flutter is the most popular cross-platform mobile framework used by global developers.” (Statista). This course, part of the IBM iOS and Android Mobile App Developer Professional Certificate, gives aspiring mobile app developers essential skills employers look for. During this course, you’ll learn about the Flutter framework and the features that make it a popular tool for building Android and iOS mobile applications. You’ll explore Flutter’s widgets, how to use stateful and stateless widgets, and how to create cross-platform user interfaces (UIs). You’ll learn about Dart, the programming language for Flutter, how it works, and its libraries. As you learn, you’ll get hands-on experience, creating your own basic Flutter app. You’ll explore Flutter’s advanced features, such as using plugins, managing state, and calling APIs. If you’re looking to build in-demand skills in the world’s most popular cross-platform mobile app framework, ENROLL TODAY and power up your resume in less than a month! In this module, you will gain a comprehensive understanding of Flutter’s components. You will explore Flutter’s cross-platform capabilities and how they work together to create efficient and visually appealing apps. The module will also delve into the Flutter Toolchain, SDK, and essential utilities, providing you with the necessary tools for building and debugging your Flutter apps. You’ll also learn the significance of Dart, the programming language that powers Flutter, and its role in creating robust and scalable applications. 8 videos2 readings2 assignments1 app item2 plugins Dart provides the language for building across platforms. In this module, you will gain insights into Dart, how it works, and how to use Dart libraries. Additionally, you will also learn how to use the Dart command line and utilities. Finally, you will edit and perform a simple debug using Dart. 7 videos1 reading3 assignments3 app items2 plugins Flutter is used to create the user interface experience when using an app. In this module, learners will see how to create the user experience through orientation, layout, routing between screens and styles. Finally, learners will create a basic Flutter app. 8 videos1 reading3 assignments2 app items1 plugin Flutter’s advanced features provide developers with enhanced ability to create complex and successful apps. In this module, you will learn to use plugins, manage state, call APIs using Flutter. You will also apply your skills and knowledge to build an app that includes back-end services with advanced capabilities and functionality. 8 videos1 reading3 assignments3 app items2 plugins In this final project, you will create a basic app using Flutter. You will also add navigation and enrich the app using Flutter components, connect the app to a database using APIs, and then simulate the execution of the app. 1 video4 readings1 peer review2 app items

5 modules

Beginner level

17 hours to complete (3 weeks at 5 hours a week)

https://www.coursera.org/learn/flutter-and-dart-developing-ios-android-mobile-apps

Christian Virtues for Spiritual Growth

Enrollment number not found

Rating not found

Stanley Hauerwas

Duke University

['Meditation', 'Spiritual Growth', 'Applied Ethics', 'theology', 'Philosophy Of Religion']

This Duke Divinity+ course is for all those who seek to cultivate their interior lives and to develop a way of thinking about ethics inspired by Christian tradition. In this course, renowned theologian Stanley Hauerwas reflects on the significance of specific virtues for understanding what it means to be a Christian. He examines the meaning and significance of four key virtues—kindness, hope, humility, and generosity—and their importance to living a good life. Further, you will consider the practical aspects of living a virtuous life. We will discuss the challenges to living the virtues, and examine how they can be cultivated by incorporating contemplative practices in your everyday life. Week 1 draws on baptism as our initiation into a new story and way of being in the world. In Week 1, you will explore the virtue of kindness through the character of God, reflected in how we treat ourselves and others. Week 2 focuses on hope. In Week 3, you will explore the virtue of humility, and reflecting on the paradox that trying to be humble often ends in pride. Finally, Week 4 closes with an exploration of generosity, demonstrating how different virtues reveal the God who is unrelentingly generous. Welcome to the first session of this course, in which we explore the importance of kindness to a life of Christian virtue. We will dive into the importance of baptism in Christianity, and how it is a catalyst for a life of virtue. Next, we will explore the concept of virtue as a habit. We will discuss the meaning of virtue, its difference from mere moral behavior, and why it is constituted by habits. We will also examine how the cultivation of habits shape our character. 5 videos10 readings2 assignments2 discussion prompts This week you will learn how the virtue of hope—learning to rest in God’s providence when the future is not clear—allows one to live in the present moment without succumbing to suffering and despair. We will study Romans 5, in which St. Paul details how and why Christian hope draws its inspiration from the life, death, and resurrection of Jesus Christ. We will discuss how Christian hope helps us build our character with eyes toward eternity, and we will examine the virtues in action through the lives and writings of Rev. Dr. Pauli Murray and Bishop Desmond Tutu. Finally, we will discover how hope is a virtue that is lived out in our personal and political contexts. 7 videos4 readings1 assignment1 discussion prompt This week, you will learn how the virtue of humility leads to the self-knowledge necessary to understand ourselves as relational beings. Hauerwas traces the history of humility, and explains why it is seemingly a paradox. He emphasizes that humility is the key to a scriptural understanding of the world. You will read excerpts of homilies from Archbishop Óscar Romero that illuminate the connection between humility and the church’s faithful witness to the Gospel. Finally, you will apply what you have learned in a formation exercise that dares you to see humor as a practice of humility. 5 videos6 readings1 assignment1 discussion prompt This week, you will learn the virtue of generosity. Hauerwas explains that generosity is a selfless posture that is practiced in relationships. Although people think of generosity as the virtue of giving, Hauerwas explained that the Christian concept of generosity is best understood through receptivity. In pursuing a relationship with God, human beings come to know that their very existence is a gift that in turn encourages us to receive gifts with humility and joy. In this lesson, you will see how generosity overlaps with other virtues you have learned about in this course. And at the end of this week, you will apply these lessons on generosity by giving a blessing to someone. 6 videos5 readings1 assignment1 discussion prompt

4 modules

Beginner level

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/christian-theology-virtues

Large Marine Ecosystems: Assessment and Management

16,312

4.8

Coleen Moloney

University of Cape Town

['ecosystem-based management', 'sustainable development', 'multi-sector assessment and management']

Focusing on the Large Marine Ecosystems (LMEs) of the world, this course will introduce the concept and practice of ecosystem-based management. LMEs occupy areas of coastal ocean at least 200 000 km² or greater in size. These coastal waters produce 12.6 trillion USD in ecosystem goods and services annually and are vitally important for billions of people around the globe. Because LMEs are bounded by ocean features and are globally linked, management of human activities needs to occur in an integrated fashion across political boundaries and economic sectors (e.g. fishing, shipping, energy, tourism, and mining). This represents a new type of management, approached by shifting from single-sector based to multi-sector assessment and management, within the spatial domain of the world's 66 Large Marine Ecosystems. There is global high-level support for this new approach and in this course, we will introduce the concepts and tools for assessing and managing LMEs. Together, leaders and experts in a global movement to recover and sustain the goods and services of LMEs will introduce you to the mechanisms used for assessment (Transboundary Diagnostic Analysis), planning and implementation (Strategic Action Programme). Based on recent activities in implementation and practice of the LME approach projects around the globe, we will showcase examples of effective management at this scale, and highlight the challenges and issues. By the end of the online course, we hope you will be able to actively use this knowledge to advance sustainable development of the world’s oceans. The course was created with the support and input of the Global Environment Facility (GEF), the United Nations Development Program (UNDP), the National Oceanic and Atmospheric Administration (NOAA), UNESCO-IOC and IW:LEARN. Introducing the Large Marine Ecosystem approach, ecosystem based management principles, and the five modules. There are three topics covered in this first week - ecosystem-based management, the concept of Large Marine Ecosystems, and the 5-module approach to assessment and management. As well as my lectures, there are also summaries of some key readings and links to other resources. We've included practice quizzes to help you recap and test your understanding of the key concepts as we move through the lessons. There is one graded quiz at the end of the week, which carries marks - but you may take the quiz more than once. At the end of this week, and all the other weeks, Dr Kenneth Sherman will share his insights about the topics we have covered. 8 videos8 readings4 assignments3 discussion prompts2 plugins In this week, we deal with the three natural science modules within the five module approach. 7 videos8 readings3 assignments1 peer review1 discussion prompt2 plugins We move onto the two human dimensions of the five module approach. 5 videos5 readings4 assignments1 discussion prompt1 plugin This is the heart of the course - delving into the Transboundary Diagnostic Analysis (TDA) and Strategic Action Programme (SAP). 6 videos4 readings2 assignments1 peer review1 discussion prompt3 plugins This week we move into the application of the approaches and the tools we have been discussing - with a description of how LME projects are implemented - focusing on marine ecosystem-based management (EBM). 6 videos4 readings3 assignments1 peer review1 discussion prompt1 plugin We have included a number of case studies of LMEs, inviting marine ecosystem managers and scientists from across our network to describe their work in implementing EBM. 9 videos10 readings1 peer review1 discussion prompt4 plugins

6 modules

Intermediate level

https://www.coursera.org/learn/large-marine-ecosystems

98%

Microsoft Azure Data Fundamentals DP-900 Exam Prep Specialization

21,742

4.6

Microsoft

Microsoft

['Describe how to work with relational data on Azure', 'Describe core data concepts', 'Describe an analytics workload on Azure', 'Describe how to work with non-relational data on Azure', 'Describe how to work with relational data on Azure', 'Describe core data concepts', 'Describe an analytics workload on Azure', 'Describe how to work with non-relational data on Azure']

This Specialization is intended for IT professionals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Through five courses, you will prepare to take the DP-900 exam. This program will prepare you to take up Data Engineer, Data Analyst, and Database Administrator roles. You will explore the roles, tasks, and responsibilities in the world of data. You will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. You will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores, and the processing options available for building data analytics solutions in Microsoft Azure. You will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight and learn what Power BI is, including its building blocks and how they work together. This Specialization will prepare you to take the DP-900: Microsoft Azure Data Fundamentals exam. Upon completion of the Specialization, you will be offered a discount to the Microsoft Azure Data Fundamentals Certification Exam to be redeemed at Pearson Vue, Microsoft's proctor exam site. Limited discount vouchers are available on first-come-first-serve basis. Coursera and Microsoft may end the offer at any time. Applied Learning Project Learners will engage in interactive exercises throughout this program that offers opportunities to practice and implement what they are learning. They use the Microsoft Learn Sandbox. This is a free environment that allows learners to explore Microsoft Azure and get hands-on with live Microsoft Azure resources and services. For example, when you learn about provisioning Azure relational database services, you will work in a temporary Azure environment called the Sandbox. The beauty about this is that you will be working with real technology but in a controlled environment, which allows you to apply what you learn, and at your own pace. You will need a Microsoft account to sign into the Sandbox. If you don't have one, you can create one for free. The Learn Sandbox allows free, fixed-time access to a cloud subscription with no credit card required. Learners can safely explore, create, and manage resources without the fear of incurring costs or "breaking production". Describe core data concepts. Identify how data is defined and stored. Describe data job roles. Describe and differentiate batch and streaming data. Identify characteristics of relational and non-relational data. Describe the characteristics of relational data Describe types of non-relational and NoSQL databases Define types of non-relational data Choose the most suitable Explore relational data workload offerings Identify basic management tasks for non-relational data Describe non-relational data workloads Describe non-relational data offerings on Azure Processing options for building data analytics solutions in Azure. You will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Describe data ingestion and processing on Azure Describe the components of a modern data warehouse Describe data visualization in Microsoft Power BI. Describe analytics workloads. Develop best practice study methods to prepare for Microsoft certification exams Develop test-taking techniques that work in Microsoft certification exams Outline the key points covered in the DP-900: Microsoft Azure Data Fundamentals exam Describe best practices in preparing for and demonstrate proficiency in the skills measured in the DP-900: Microsoft Azure Data Fundamentals exam

5 course series

Beginner level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/microsoft-azure-dp-900-data-fundamentals

Pentesting Fundamentals for Beginners

Enrollment number not found

Rating not found

Packt - Course Instructors

Packt

['Cyber Security', 'Ethical Hacking', 'Pentesting', 'Kali Linux', 'CompTIA Cybersecurity Analyst (CySA+)']

Ethical hacking fundamentals are consistent across exams, focusing on tools like Nmap, specific commands, pentesting frameworks, and the OWASP Top 10 vulnerabilities. Understanding scoping assessments, documentation purposes, and executive summaries is essential. This course covers these fundamentals, teaching cybersecurity tools, reverse shells, scripting basics, and command outputs. You'll learn to identify security tools, ethical hacking techniques, exploit web application vulnerabilities, and proper pentesting documentation and reporting. By the course end, you'll master pentesting basics, boosting your cybersecurity career. Designed for aspiring ethical hackers or pentesters, and those seeking Pentest+, CySA+, OSCP, or CeH certifications. This course is also ideal for those needing a refresher on ethical hacking fundamentals. Requirements include a PC or laptop, stable internet, virtualization-capable hardware, and a strong desire to learn. In this module, we will provide a comprehensive overview of what the course entails. You will learn about the key topics, objectives, and structure, setting the stage for the in-depth content to follow. 1 video1 reading In this module, we will delve into setting up a virtual lab environment. You will learn to install and configure Kali Linux, Windows 10, Metasploitable2 and Metasploitable3, and OWASP virtual machines. Additionally, we'll cover how to take snapshots of your current configurations. 6 videos1 reading In this module, we will explore the crucial aspect of documentation in penetration testing. You'll understand the importance of scoping engagements, creating Statements of Work, Rules of Engagement, Master Service Agreements, and NDAs, as well as compiling a comprehensive Pentesting Final Report. 5 videos In this module, we will cover key penetration testing frameworks. You'll gain high-level insights into the MITRE ATT&CK, NIST, and PTES frameworks, learning how to apply their principles to real-world penetration testing activities. 3 videos1 assignment In this module, we will focus on Nmap, a powerful tool for network discovery. You'll learn to conduct various scans, including service and version detection, OS detection, and host discovery. Additionally, we'll explore the Nmap Scripting Engine and how to analyze scan results. 7 videos In this module, we will introduce you to OpenVAS, a comprehensive vulnerability scanner. You will learn how to perform vulnerability scans, interpret the results, and understand the scanner's capabilities for various testing scenarios. 1 video In this module, we will cover techniques for information gathering. You'll learn about banner grabbing and using tools like WinPEAS for automated enumeration, aiding in the reconnaissance phase of penetration testing. 2 videos1 assignment In this module, we will explore reverse shells and persistent connections. You will learn to create persistent backdoors, reverse shells using PowerShell, and launch graphical console windows using SSH and XTERM for remote system management. 3 videos In this module, we will examine privilege escalation techniques. You'll learn to identify vulnerabilities like Unquoted Service Path and perform privilege escalation on Windows 7 and 10 using UAC bypass methods. 3 videos In this module, we will cover the OWASP Top 10 web application vulnerabilities. You'll learn to mitigate these vulnerabilities using various tools and techniques, including assembling fake TCP/IP packets with Hping3 and conducting scans with OWASP ZAP. 4 videos1 assignment In this module, we will focus on testing web applications. You'll learn to configure BurpSuite, perform SQL injection attacks using SQLmap, detect web application firewalls with WAFW00F, and exploit vulnerabilities like HTTP PUT method and brute-forcing WordPress passwords. 6 videos In this module, we will teach you how to compile exploit code for Linux and Windows. You will also learn to prepare a Windows OVA file for your virtual lab and cross-compile exploits using tools like Mingw-w64. 3 videos In this module, we will cover scripting techniques for penetration testing. You'll learn to use Kali web shells, transfer files using HTTP and PowerShell's WebClient, and perform tasks like string slicing in Python and disabling Windows 10 UAC using PowerShell. 5 videos2 assignments

13 modules

Intermediate level

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/packt-pentesting-fundamentals-for-beginners-ywdlw

Reality Bites: Introduction to metaphysics

3,021

4.5

Tim De Mey

Erasmus University Rotterdam

[]

Speculative metaphysics is challenging, but this course will whet your appetite for it, because it explains fundamental metaphysical problems and views in terms of what you can find in your kitchen and what happens in it when you cook and enjoy food. Here are the 8 bites on the menu. - The first module 1 explains that metaphysics is about the ingredients and recipes of the world, i.e., which kinds of entities exist and how they relate to one another. - Modules 2 and 3 invite you to reflect on whether the properties of ingredients -such as their shape and weight- are separate from and if so, how they come together in the ingredients. - Modules 4 to 7 are about cooking: its most important ingredient is time and most cooking consists in causing changes to the ingredients over time. Yet some ingredients persist: although they undergo changes, they remain the same. Moreover, cooking minimally involves putting two or more ingredients together, so that they compose a whole. Hence modules 4 to 7 deal with time, causation, persistence and composition respectively. - Finally, the last module touch on the smells, tastes and other qualitative aspects of our experiences when enjoying food. Bon appétit! The introductory module explains what this thing called metaphysics is and what's it all about, namely: metaphysics is about all and everything. Furthermore, week 1 introduces ontology as the core of metaphysics, and explains its most fundamental methodological principles, like parsimony, and methodological tools, like Quine's method to determine one's ontological commitments. 4 videos1 reading1 assignment1 discussion prompt The second module deals with the most famous and infamous problem in the whole history of metaphysics, i.e., the problem of universals. Whereas objects or 'particulars' can only be in one place at the same time, properties seem to be present in many places at the same time. This raises the question whether properties are, in contrast to particulars, transcendent or immanent 'universals'. Alternatively, properties can be reduced to classes of particulars, resemblances between particulars, or 'tropes', i.e., abstract particulars. 4 videos1 reading1 assignment1 discussion prompt In more than one way, the problem of substance is the converse of the problem of universals. If two objects share all their properties, what individuates them from each other? And how do objects bear their properties? Does it take properties to be able to bear properties? Or if that quicks off an infinite regress, are substances propertyless substrata, naked substrata? Or mere bundles of properties, whether universals or tropes? Or still, are substances thick or thin particulars? 4 videos1 reading1 assignment1 discussion prompt We all think that we know that time passes. But there are some interesting metaphysical problems with time and its alleged passage. Firstly, do only objects and persons that exist now, really exist? Or also past objects and persons? Or perhaps even future objects and persons? Furthermore, is time real? Because, as McTaggart argues, if change is fundamental to time, the ordering of events in terms of past, present and future is, on the one hand, fundamental, and on the other hand, incoherent. 3 videos1 reading1 assignment1 discussion prompt If one event causes another event, is there a relation of necessity between the two? Famously, Hume argued there was no natural necessity, and he proposed to reduce causation either to regularity or to counterfactual dependency. However, there are many objections and alternatives to Humeanism. Perhaps, causation is singular, simple or rather diverse. 4 videos1 reading1 assignment1 discussion prompt Objects can undergo changes and yet remain the same over time. They 'persist'. But what does that mean? What does it involve? In this module the conceptions and the arguments for and against 4 views about persistence are compared. Our starting point is the classic riddle of the Ship of Theseus. 3 videos1 reading1 assignment1 discussion prompt The special composition question is the question when objects together become parts of a whole? Although it's intuitive that sometimes they do and sometimes they don't, it turns out to be notoriously difficult to pinpoint a criterion. That motivates numerous metaphysicians to argue for extreme answers: either that there are no composite objects at all, or that every single combination of disparate object constitutes a further, composite object. 4 videos1 reading1 assignment1 discussion prompt In the final module, our relation to the mind-independent world is at stake. Are certain properties, like colors and sounds, secondary qualities, meaning that they exist in the world merely as dispositions to trigger certain responses or experiences in us? And what is the scope of these secondary qualities, this response-dependency? 4 videos1 reading2 assignments1 discussion prompt

8 modules

Intermediate level

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/metaphysics

Principles of Photo Composition and Digital Image Post-Production

81,364

4.7

Peter Glendinning

Michigan State University

[]

Welcome to Course THREE! In the first two Modules you will gain a more professional-level understanding of the Design Elements that artists have used throughout history to create successful compositions. Arranging the Elements in ways that lead viewers through their compositions is an essential craft for photographers no matter whether their subject matter is pure documentary or vividly exotic personal expression. In Modules 3 & 4 we survey the essential elements of post-photography image management, using Adobe(tm) LIGHTROOM(tm). Image adjustment software designed for Smartphone photographers rounds out the Course. Since even photographers whose mainstay is a high-end DSLR also must admit to Smartphone use occasionally, and photographers who only use a Smartphone will usually admit that they want to step over to a "regular" camera at some point, there is something for everyone here! Let's get started with Module One! A writer must understand what nouns, adjectives, adverbs, and other word forms are, before putting them together in sentences that make sense to a reader. Similarly, an artist must understand the essential elements of design that must be put together to create a composition that will "make sense" to a viewer of their artwork. In this first module you will learn about the Elements of Design so you can understand their functions and use them effectively to guide your viewers to the content you wish to be conveyed by your photographs, whether it be creative, or documentary, regardless of the subject matter. 12 videos3 readings4 assignments1 peer review Most successful photographs are the result of impactful content, control of exposure and focus, and well designed composition. When you finish the courses and lessons in this Module, you will have the understanding of fundamental principles in those essential areas to begin creating expressions you can be proud of. From the knowledge you gained in Module 1, you can now identify Design Elements that are most significant to you and your content. In this Module, you will learn fundamental principles of organization of those Elements through the purposeful communication that comes from Composition. 7 videos1 reading1 assignment1 peer review In this Module you will learn the fundamental elements of "post-production workflow," for image files created with a digital camera. We will cover the fundamental aspects of the widely accepted software tool Lightroom™. Whether you are using a point-and-shoot, mirrorless, compact, or DSLR camera, the resulting pictures are of limited value unless they are organized and edited beyond the camera in a computer-based environment. You will begin learning the "best practices" involved in using the most widely accepted software platforms, and have a foundation from which you can begin the journey of growth in skills in future efforts and studies of "post-production." 14 videos1 reading8 assignments Whether you are an iPhone, Galaxy, or other SmartPhone user, you know you have an exciting device to use as a camera, but you probably feel that you are not using all of its potential. You will learn how the addition of solid Photo "APPs" can extend the capability of your device, turning it into a powerful photo-editing computer as well as a more sophisticated camera. 2 videos1 reading1 assignment1 peer review

4 modules

15 hours to complete (3 weeks at 5 hours a week)

https://www.coursera.org/learn/photo-composition

95%

Data Mining Methods

6,278

4.0

Qin (Christine) Lv

University of Colorado Boulder

['outlier analysis', 'classification', 'model evaluation', 'frequent pattern analysis', 'clustering']

This course covers the core techniques used in data mining, including frequent pattern analysis, classification, clustering, outlier analysis, as well as mining complex data and research frontiers in the data mining field. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo image courtesy of Lachlan Cormie, available here on Unsplash: https://unsplash.com/photos/jbJp18srifE This week starts with an overview of this course, Data Mining Methods, then focuses on frequent pattern analysis, including the Apriori algorithm and FP-growth algorithm for frequent itemset mining, as well as association rules and correlation analysis. 15 videos3 readings1 programming assignment1 discussion prompt This week introduces supervised learning, classification, prediction, and covers several core classification methods including decision tree induction, Bayesian classification, support vector machines, neural networks, and ensemble methods. It also discusses classification model evaluation and comparison. 9 videos1 programming assignment This week introduces you to unsupervised learning, clustering, and covers several core clustering methods including partitioning, hierarchical, grid-based, density-based, and probabilistic clustering. Advanced topics for high-dimensional clustering, bi-clustering, graph clustering, and constraint-based clustering are also discussed. 8 videos1 reading1 programming assignment This week discusses three different types of outliers (global, contextual, and collective) and how different methods may be used to identify and analyze such outliers. It also covers some advanced methods for mining complex data, as well as the research frontiers of the data mining field. 8 videos1 peer review

4 modules

Intermediate level

https://www.coursera.org/learn/data-mining-methods

The City and You: Find Your Best Place

18,436

4.6

Richard Florida

University of Toronto

[]

Welcome to The City and You: Find Your Best Place. I'm excited to have you in the class and look forward to your contributions to the other learners in our community. This free course will provide the knowledge and the tools needed to understand what cities do, why they matter, the forces shaping the greatest wave of urbanization in history, and how to pick the right place for you. The course will also help you develop critical thinking skills. We'll accomplish this by providing evidence of the importance of cities, and why and how they matter to you. Then we’ll ask you to apply what you’ve learned in an exercise which will help you assess your own community and find your best place. This course is accessible and open to anyone who is interested in learning more about cities and the ways they affect our lives. It is organized around five key modules: (1) Why Cities Matter, (2) A World of Cities, (3) The Creative City, (4) The Divided City and the New Urban Crisis, and (5) How to Find the Best Place for You. After completing the course, you will be able to: (1) Identify why cities are the drivers of economic prosperity; (2) Explain the drivers and implications of fast-growing urbanization worldwide; (3) Outline the key characteristics of a creative and innovative city; (4) Describe the social divides and challenges facing cities and the solutions cities are using to address them; and (5) Recognize the trade-offs of staying in your current city versus moving, and identify the best place for you and your family to live. Of course the world has changed a great deal since I developed this course. The Global COVID-19 Pandemic is affecting cities, businesses and people around the world. It is something I have been writing about and working with mayors, city managers, economic developers, urban leaders and communities across the globe. I have put together a new module on Cities and the Coronavirus to help you better understand the ways in which the Covid-19 crisis is impacting cities and how you can best understand and deal with that. I’d like to wish each and every one of you good luck as you get started on this journey. I hope you enjoy the course! This session will help you to understand the importance of cities for both the economy and society, as well as, you and your family. Today, more than three and a half billion people live in cities, which is more than half of the world's population. That figure is projected to rise to as many as 10 billion people or 85 percent of the world's population over the next century. Cities are our premier platforms for generating new innovations, higher levels of economic growth, and new and better jobs. We will discuss why and how cities are important, and why picking the right city to live is important to your career, well-being, and life. 8 videos5 readings2 assignments1 discussion prompt This session will help you understand the opportunities and challenges of urbanization around the world. Global urbanization has the power to lift living standards, create economic opportunity and jobs, reduce pollution, improve energy efficiency, and make the world safer. But, many cities in the developing world remain poor, with millions of people crowded into global slums. 6 videos6 readings2 assignments1 discussion prompt Cities have been the fonts of creativity since the dawn of civilization. The clustering of creative people in them and the diversity they bring is what drives key advances in arts, culture, and technology. These wellsprings of human progress have always occurred in our great cities from Athens and Rome to London, New York, and the emerging economies in Asia. This session will help you better understand how the clustering of diverse groups of creative people in cities spurs artistic achievement, scientific and technological advance, and human progress. 7 videos6 readings2 assignments1 discussion prompt This session will help you better understand the New Urban Crisis and the growing economic divides that challenge cities today. In the second half of the 20th century, society was divided between poorer cities and richer suburbs. But, over the past decade or so, affluent and educated people have flocked back to urban centers pushing poverty out to the suburbs. Today, middle-class neighborhoods are in decline and our societies are defined by small areas of concentrated advantaged surrounded by much larger areas of concentrated disadvantage spanning the city and its suburb alike. 6 videos5 readings2 assignments1 discussion prompt This session will help you better understand how the Covid-19 crisis will change cities and their recovery challenges. Covid-19 is not the first pandemic to strike our cities, nor will it be the last. Over the long course of history, cities have often been hotbeds of contagion and infectious disease. But no pandemic, plague, or natural disaster has ever managed to stifle their growth. When this pandemic is over in a couple of years, maybe less, New York and London will still be the world’s great financial centers; the San Francisco Bay Area its hub of high technology; and Los Angeles its center for entertainment and film. Shanghai, Tokyo, Hong Kong, Singapore, Paris, Toronto, and Sydney will all continue to be great global cities. But change will come to how and where we live and work. Our cities and society as a whole are likely to grow even more unequal than they are today, as both the disease and its economic fallout hit hardest at the least-advantaged. While some of these changes will prove to be evanescent, others may be permanent. Ultimately, the pandemic will be less of a break point or disruption, and more an accelerant to changes already afoot in our working and living patterns. 3 videos5 readings1 discussion prompt This session will help you understand the importance of where you live to your life and career. We each make three big decisions in our lives: our career, our choice of life-partner, and the place (city and neighborhood) where we live. We get lots of advice on the first two, but little on the third. Yet, choosing where to live is the most important decision of all. It shapes and influences the kinds of careers that we pursue and the kinds of people we will meet. This session provides you with the tools and a framework for choosing the place that is best for you and your family. 7 videos3 readings1 peer review1 discussion prompt

6 modules

Beginner level

https://www.coursera.org/learn/city-and-you-find-best-place

96%

Advanced Topics in Derivative Pricing

8,547

4.4

Garud Iyengar

Columbia University

['Volatility Smile', 'Computer Programming', 'Implied Volatility', 'Synthetic Collateralised Debt Obligation (CDO)', 'Replicating Strategy']

This course discusses topics in derivative pricing. The first module is designed to understand the Black-Scholes model and utilize it to derive Greeks, which measures the sensitivity of option value to variables such as underlying asset price, volatility, and time to maturity. Greeks are important in risk management and hedging and often used to measure portfolio value change. Then we will analyze risk management of derivatives portfolios from two perspectives—Greeks approach and scenario analysis. The second module reveals how option’s theoretical price links to real market price—by implied volatility. We will discuss pricing by volatility surface as well as explanations of volatility smile and skew, which are common in real markets. The third module involves topics in credit derivatives and structured products and focuses on Credit Debit Obligation (CDO), which played an important part in the past financial crisis starting from 2007. We will cover CDO’s definition, simple and synthetic versions of CDO, and CDO portfolios. The final module is the application of option pricing methodologies and takes natural gas and electricity related options as an example to introduce valuation methods such as dynamic programming in real options. 3 readings This module contains the first part of equity derivatives. After a brief review on the binomial model, we introduce Black-Scholes model and how to utilize this model to derive so-called "Greeks." Greeks are very important indices in options, which measure the sensitivity of option value to a wide range of variables such as stock price and volatility. We are also covering risk management and hedging. Greeks play an important role in risk management and hedging, as traders and quants often use Greeks approach to hedge and construct their portfolios. Moreover, we will introduce scenario analysis and how Greeks are used to measure portfolio value change. In the end, we are covering an introduction to implied volatility and volatility smile. Implied volatility is a key link between market option prices and options prices under the framework of Black-Scholes model. We'll be covering more about this topic in the next module. 11 videos2 readings7 assignments This module contains the second part of equity derivatives. Following past module, we'll continue discussing implied volatility and volatility smile. We introduce two main explanations about volatility skew: risk aversion and leverage effect. Next, we will cover how to utilize volatility surface to price derivatives, including digital options and range accruals. Meanwhile, we will introduce a method to obtain risk-neutral density of terminal stock price distribution from option prices. We will also cover two additional topics about joint distribution of two securities and dynamic replication in practice. In module 3, you will have a real-world assignment where you will use all the knowledge from previous modules to solve the problems about equity derivatives. In this assignment, you will be exposed to many think-about questions where you can jump out of the Black-Scholes framework and think in a model-free world. 10 videos1 reading3 assignments 1 reading3 assignments This module involves topics in credit derivatives and structured products. Firstly, we will cover the definition of Credit Debit Obligation (CDO) and Gaussian Copula model, where Gaussian Copula can be used to compute the portfolio loss function. CDO plays an important part in the past financial crisis starting from 2008, and it is an important part of working for traders and quants in Securitized Products Group (SPG). Next, we will introduce a simple version of 1-period CDO, where you can learn how to get the expected tranche losses and understand CDO from observations about equity, mezzanine and senior tranches. In the end, we will cover the mechanism about synthetic CDO and the method to calculate the fair value of premium lag, default lag, and CDO tranche. We will also cover CDO portfolios, including pricing and risk management of CDO portfolios and higher-order CDO products. 14 videos2 readings5 assignments This module involves topics in real options. Real options are based on highly volatile underlying assets with many uncertainties including market, industrial, technical, organizational, and political issues. We take natural gas and electricity related options as an example to introduce valuation methods such as dynamic programming in real options. 4 videos2 readings1 assignment

6 modules

Intermediate level

16 hours to complete (3 weeks at 5 hours a week)

https://www.coursera.org/learn/financial-engineering-advancedtopics

Sustainable Regional Principles, Planning and Transportation

6,925

4.5

William Roper

Johns Hopkins University

['Regional Planning', 'Efficient Transportation Systems', 'Regional Park Planning', 'Zoning Strategies', 'Environmental Protection']

This course will provide students with an introduction to sustainable regional principles, regional planning concepts and evaluate regional transportation system issues. This will be achieved through dynamic video lectures, practical case studies and the evaluation of practices for success. These will include discussions of the importance of the regional plan, how to engage community involvement, the importance of understanding a development transect and others. Strategies for growth priorities, along with consideration of available housing and food security will also be addressed. The concepts of providing a rural preserve and a rural reserve will be evaluated and mapping of key aspects of the region, such as neighborhoods and districts will be explained. Evaluation of regional transportation systems will be addressed including multi-mobile balance and building choices into the transportation system modes. The considerations for including a regional railway system along with accommodating user mobility and accessibility will be explored. By the end of this course, you will be able to: - Formulate the relationship between regional principles, smart growth, and sustainability. - Evaluate growth priorities, community involvement and scale of governance to achieve sustainable smart growth. - Evaluate and explain regional mapping of rural preserves, rural reserves, neighborhoods, and districts as important tools in regional smart growth planning. - Describe the implications of mapping corridors and regional centers to the overall smart growth planning at the regional level. This course is for : - Government Officials involved planning, designing, monitoring, enforcement, and assessment of sustainable project developments at the local, state, and federal level. - Private sector companies in the transportation and municipal design and construction business. - Architects interested in advancing sustainable concepts for cities and communities. - Foundations, associations, and other NGOs that support smart growth strategies. - Academic faculty and students studying and researching community sustainability and resilience. - Private citizens interested in improving their communities and living conditions. The following list identifies background knowledge that will help you succeed in this course. - helpful to have a general understanding of how public/private projects are planned and implemented - have a strong interest or experience in planning and developing regional sustainable development plans - familiar with how government organizations function in the areas of transportation planning and project development - served as a volunteer committee member or leader on regional transportation projects and/or regional policy development initiatives - have a background and interest in environmental protection plans and projects - a general knowledge of regional transportation project planning and implementation - general knowledge or experience in public participation in governmental policy development - a strong interest and/or experience in improving the urban environment for the benefit of its citizens - have a general knowledge of legal and policy issues involved in sustainable development - have experience or general knowledge of social equity issues This module will evaluate important regional issues that provide part of the foundation for a sustainable city. Regional principles will be evaluated in the context of developing a regional plan for sustainability. 12 videos2 readings1 assignment1 discussion prompt This module will address issues related to neighborhood strategies for protecting the natural context of the neighborhood as well as the importance of the different, opponents necessary to have a welcoming and functional neighborhood. Structures will also be evaluated as an important part of the character of the neighborhood. 9 videos1 assignment This module will evaluate sustainable options for the important physical, components for the transportation infrastructure within the region. 8 videos1 assignment This module will evaluate sustainable options for the important physical, components for the transportation infrastructure within the Fairfax County Virginia Comprehensive Transportation Plan. 7 videos1 assignment

4 modules

Intermediate level

7 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/sustainable-regional-principles-planning-and-transportation

Brand Management: Aligning Business, Brand and Behaviour

458,021

4.9

Nader Tavassoli

University of London

['Corporate Branding', 'Brand Marketing', 'Brand Management', 'Brand Identity']

Professor Nader Tavassoli of London Business School contrasts traditional approaches to branding - where brands are a visual identity and a promise to customers - to brands as a customer experience delivered by the entire organisation. The course offers a brand workout for your own brands, as well as guest videos from leading branding professionals. The aim of the course is to change the conception of brands as being an organisation's visual identity (e.g., logo) and image (customers' brand associations) to an experience along "moments-that-matter" along the customer journey and, therefore, delivered by people across the entire organisation. Brands are thus not only an external promise to customers, but a means of executing business strategy via internal brand-led behaviour and culture change. You will learn and practice the following skills: 1. How to build brands from a broad organisational perspective 2. How to lead brand-led culture change with human resource practices at the core (i.e., brand as a lever and not just an outcome) 3. How to build brands in multi-brand companies, across cultures and geographies 4. How to measure brand health in new ways, that is, internally in addition to externally 5. How to value and capture returns to brands across the organisation - introducing the new concept of employee-based brand equity - and how this is different from the valuation of brands as intangible assets. This course allows you to develop the following aspects of yourself: 1. Head. Gain a deeper understanding of the evolving practice of brand management, one that goes further than practiced in most organisations today 2. Heart. Be motivated to engage in delivering your own brands – regardless of where you are in your organisation – thereby creating superior value for customers and for your organisation 3. Hands. Translate learnings into action. As Confucius is supposed to have said: “I hear and I forget. I see and I remember. I do and I understand.” Welcome to Module 1! In this module, we'll cover the following topics: Traditional notions of branding; Changing market conditions for brands; A new approach to branding. As well as the lecture videos, you will also be learning through interviews with brand practitioners such as Bethany Koby, Director of Technology Will Save us and David Kershaw, CEO of M&C Saatchi. There are optional readings to supplement your understanding, a quiz with 7 questions to test your learning and a peer review assignment based on a task connected to this module. 8 videos3 readings1 assignment1 peer review Welcome to Module 2! In this module, we'll cover the following topics:Brand experiences as the basis for differentiation; How to design brand experiences, as different from products and services; Pricing as a differentiating brand experience. As well as the lecture videos, you will also be learning through interviews with brand practitioner Hub van Bockel, an independent consultant and author and with Professor Bernd H. Schmitt of Columbia Business School. There are optional readings to supplement your understanding, a quiz with 6 questions to test your learning and a peer review assignment based on a task connected to this module. 9 videos1 reading1 assignment1 peer review Welcome to Module 3! In this module, we'll cover the following topics: Aligning the strategies for business, brand and behaviour; Strategic brand portfolio alignment; Delivering global brand alignment. As well as the lecture videos, you will also be learning through interviews with practitioners, Ije Nwokorie, CEO of Wolff Olins, Helen Casey and Henk Viljoen, both of Old Mutual and Keith Weed, CMO of Unilever. There are optional readings to supplement your understanding, a quiz with 7 questions to test your learning and a peer review assignment based on a task connected to this module. 13 videos1 reading1 assignment1 peer review Welcome to Module 4! In this module, we'll cover the following topics:How to design human resource brand best-practices; A model for engaging employees with the brand; The ABCs of behavioural change. As well as the lecture videos, you will also be learning through interviews with practitioners Helen Edwards of Passionbrand, Richard Hytner of Saatchi & Saatchi, Tanya Truman and Nik Allebon of Lush. There are optional readings to supplement your understanding, a quiz with 5 questions to test your learning and a peer review assignment based on a task connected to this module. 15 videos1 reading1 assignment1 peer review Welcome to Module 5! In this module, we'll cover the following topics: How brands create value; Why brand valuation is not the same as the value brands create; How to design a strategic and cross-functional brand dashboard. As well as the lecture videos, you will also be learning through interviews with David Haigh, CEO of Brand Finance. There are optional readings to supplement your understanding, a quiz with 6 questions to test your learning and a peer review assignment which asks you to reflect on your learning throughout the course. 10 videos1 reading1 assignment1 peer review

5 modules

Beginner level

https://www.coursera.org/learn/brand

97%

Fundamentals of Software Architecture for Big Data

8,465

3.5

Tyson Gern

University of Colorado Boulder

['Software Engineering', 'Distributed Computing', 'Big Data', 'Microservices', 'Real-time Systems']

The course is intended for individuals looking to understand the basics of software engineering as they relate to building large software systems that leverage big data. You will be introduced to software engineering concepts necessary to build and scale large, data intensive, distributed systems. Starting with software engineering best practices and loosely coupled, highly cohesive data microservices, the course takes you through the evolution of a distributed system over time. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Welcome to Fundamentals of Software Architecture for Big Data. In the first week of this course, you will learn the basics of modern software engineering. You will learn how our industry progresses over time, practice test driven development, and implement widely used data structures. 7 videos6 readings1 quiz1 peer review1 discussion prompt In this week you will learn the fundamentals of software architecture. You will learn how to evolve an architecture over time, how to work within a large codebase, and a bit about blockchain. 5 videos4 readings1 quiz1 assignment1 peer review1 discussion prompt This week you will learn the fundamentals of monitoring software in production. You will learn how to create reliable background jobs, how to calculate and communicate service availability, and how to implement production metrics and monitoring. 1 video2 readings2 quizzes1 assignment In this last week of the course, you will learn the fundamentals of production quality databases and messaging systems. You will understand the tradeoffs between consistency and availability, how to implement database transactions to improve consistency, and how to implement messaging systems to improve availability. 3 videos4 readings3 quizzes1 assignment

4 modules

Advanced level

https://www.coursera.org/learn/software-architecture-for-big-data-fundamentals

Introduction to Medical Software

26,475

4.7

Xenophon Papademetris

Yale University

['Software Testing', 'User Research', 'Software Design', 'Entrepreneurship', 'Medical Software']

In this class, we present a broad overview of the field of medical software. You will learn from Yale professors and a series of industry experts who connect the course concepts to their real world applications. We begin by discussing medical device regulatory structures, data privacy and cybersecurity regulations, and key support technologies such quality management systems and risk management. We then take a detailed look at the medical software life cycle, starting with identifying user needs, mapping these to system requirements and then the process of software design, coding, testing and validation. We continue by exploring issues related to the use of machine learning techniques in medical applications from both a software engineering and a regulatory perspective. We conclude with a discussion of the business and management issues in this area focusing on the impact on digital health on modern healthcare and issues related to starting new ventures. This is a class aimed at either third- or fourth-year undergraduates in computer science, biomedical engineering, and related fields, and to junior software engineers currently either working in, or interested in moving to, the medical device industry. Welcome to week one of our Introduction to Medical Software class. Here we will set the set the stage for what will come in the rest of the course. This week will introduce what medical software is, and we will discuss relevant regulatory issues. We will also dive into the opportunities in medical software and digital health, and finally we will discuss the regulatory process and the US health care environment. 7 videos4 readings1 assignment Welcome to week two of our introduction to Medical Software class. Our focus is this week is going to be on the regulatory aspects of medical software. What are the procedures one must follow? What is the process that they follow? We will discuss some emerging issues when it comes to things like artificial intelligence and machine learning. Lectures will discuss the history of medical device regulation and the history of the Food and Drug Administration in the United States. We will also take a look at the regulatory environment in the EU and China. 6 videos6 readings1 assignment Welcome to week three of our introduction to Medical Software class. In this week's lectures, we will look at the clinical environment and the constraints that come with it. We will look at constraints that come from the environment itself, the stakeholders involved, and also the associated technology that is present there, the databases that we have to interact with, the electronic health records, the parks, the imaging databases, and then issues to do with the regulations that are in this area regarding data privacy and security issues, and the increasing emphasis on cybersecurity. 6 videos5 readings1 assignment In this week’s lectures we will talk about two management technologies that support the development of medical software: quality management systems and risk management. 6 videos2 readings1 assignment This week, we will start looking at the design of software and introduce the medical software life cycle. In particular, we will introduce the international standard for medical software life cycles IEC 62304 and provide a guided tour of the process. We will also introduce our example project which we will use to anchor our discussions over the next few weeks. 5 videos4 readings1 assignment In this week's segments, we will focus on user needs and the system requirements specification process. We will discuss how to identify user needs and how to communicate with medical experts. In the second half of this week's segments, we will describe the systems requirements specification document and present an example outline of such a document for our image guided neurosurgery project. 6 videos1 reading1 assignment This week, we will primarily focus on the process of designing the software, i.e. the creation of a plan that will allows us to from requirements to something that now can be implemented on a computer. We will also discuss usability engineering -- the process of designing user interfaces to improve ease-of-use and to avoid user errors. Finally, we have a segment from Dr. Licholai on Digital Behavioral Health to give you an example of a use case for medical software. 5 videos4 readings1 assignment In this week, we get to the most concrete components of the medical software lifecycle, coding and testing. In many ways, this is the part of the lifecycle that is most similar to any other kind of software engineering you may have had exposure to. We will present some advice on coding, especially in the medical software domain and introduce source code management. In the second half of this week's content, we will introduce software testing and discuss what a testing plan looks like. 5 videos1 reading1 assignment This week, we will take a detour from the software lifecycle process to cover some mathematical background before returning to the software lifecycle next week when we talk about software validation. The goal of this week is to introduce key concept from probability and statistics. We will talk about the critical area of signal detection, and then we will present some methods that are necessary to understand how clinical trials are designed. 8 videos2 readings1 assignment This week, we will cover the last steps in the medical software lifecycle. We will spend most of our time talking about validation, where we will also present a brief introduction to clinical trials. We will also have short segments discussing deployment, maintenance, and retirement. 5 videos3 readings1 assignment In this week's lectures, we focus on artificial intelligence and machine learning, the use of this technology, the challenges they produce as we integrate them into software, and the challenges of regulating these technologies in order to protect patients and caregivers. 6 videos7 readings1 assignment In this section of our course, we will step away from the technical aspects that you have been learning and really think about how to get your medical software or your lab prototype out into the hands of people in the real world. For those of you interested in enterpreneurship, it is just as important to get an basic overview of the business side of things so that you can launch your venture. First, we will discuss the changing models in health care. Then we will go into the nuts and bolts of starting a new health care venture, a broad overview to speak. And then we will end with when and how to raise capital. 5 videos7 readings In this optional supplementary module we will present examples of what happens when software development goes wrong. When this class is taught at Yale, the students are assigned to present these (and other) case studies in small groups. We follow this tradition for the online class as the case studies will be presented by the four Yale undergraduate students who worked as student assistants in the creation of this online course. 4 videos9 readings Throughout the creation of this course, Prof. Papademetris conducted interviews with an array of industry experts. Many of these conversations apply to multiple of the weeks' topics - please take a look and enjoy! 1 reading

14 modules

Intermediate level

37 hours to complete (3 weeks at 12 hours a week)

https://www.coursera.org/learn/introduction-to-medical-software

Engineering of Structures: Response of Structures

Enrollment number not found

4.9

Vicki May

Dartmouth College

[]

This course explores the impact of different forces on the construction of bug buildings. It provides an overall understanding of how buildings respond to different forces that impact their designs. The first module introduces you to the concept of the overall response of structures. The second module explores different types of loads and their impact on the design of large structures. It also gives a detailed explanation of how buildings fall due to earthquakes. In addition, the module offers an explanation on the impact of mass and stiffness on building response. The third module explores how to build a cardboard chair. You'll also learn how to work with SketchUp Make. This module introduces you to the concept overall response of structures. 1 video9 readings2 assignments This module explores different types of loads and their impact on the design of large structures. It also gives a detailed explanation of how buildings fall due to earthquake. In addition, the module offers an explanation on the impact of mass and stiffness on building response. 6 videos9 readings8 assignments1 plugin This module explores how to build a cardboard chair. You'll also learn how to work with SketchUp Make. 3 videos5 readings4 assignments3 discussion prompts

3 modules

Beginner level

16 hours to complete (3 weeks at 5 hours a week)

https://www.coursera.org/learn/engineering-of-structures-response-of-structures

Finance for Non-Financial Professionals

186,272

4.6

David Standen, MBA

University of California, Irvine

['Accounting', 'Financial Ratio', 'Financial Statement', 'Finance']

Impact your financial decisions and learn how to affect the performance of your unit's profitability and of your organization. In this course gain a basic understanding of finance and accounting concepts to drive your organization's growth. Upon completion of this course, you will have gained general financial knowledge and an in-depth understanding of the impact of your decisions outside your functional area. Content of the course includes selected aspects of finance from a non-financial specialist perspective. Specific topics include: financial analysis; planning, forecasting, and budgeting; cash flow, and strategic financing. This class will be interactive and will require the active involvement of the participants in finance related activities. Upon completing this course, you will be able to: 1. Explain the importance of finance and interpretation of financial information 2. Apply the concepts of accounting and finance to analyze financials 3. Learn about key accounting and finance terms 4. Examine financial statements by using key ratios 5. Explain the importance of budgeting process 6. Learn about key components needed to improve profitability 5 videos4 readings1 assignment 4 videos2 readings1 assignment 4 videos3 readings1 assignment1 peer review 4 videos3 readings1 assignment

4 modules

6 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/finance-for-non-finance-managers

96%

Nutrition and Weight Management for Fitness Professionals

Enrollment number not found

Rating not found

Casey DeJong

National Academy of Sports Medicine

['Nutrition', 'Energy Balance', 'Energy balance', 'Body composition', 'Diet planning', 'Weight management', 'Weight Management']

In this course, you will learn how to effectively connect and motivate your clients to achieve their nutrition and weight management objectives. As a fitness professional, it is essential to be able to evaluate client nutritional patterns. This involves understanding clients' current eating habits, any dietary restrictions or preferences, and their desired outcomes. It is also important to be able to provide nutritional guidance within an appropriate scope of practice. This involves understanding the limitations of your role as a fitness professional and providing evidence-based and appropriate nutritional guidance to help clients make informed decisions about their food choices. As a fitness professional, it is essential to be able to build rapport with clients. This course will help you learn how to establish a positive and trusting relationship with each client, understanding their needs and providing support and encouragement throughout their fitness journey. Additionally, the course will cover essentials on how to motivate clients to adopt long-term lifestyle changes. This involves providing support, encouragement, and guidance to help clients make sustainable changes to their eating and exercise habits. By motivating clients to adopt long-term lifestyle changes, you can help them achieve their goals and maintain their results over time. By the end of the course, you will be able to: • Evaluate client nutritional patterns. • Provide nutritional guidance within appropriate scope of practice. • Build rapport with clients. • Motivate clients to adopt long-term lifestyle changes. Understanding the essential role of nutrition and dietary supplements is crucial for maintaining health and wellness. This week explores the impact of macronutrients and micronutrients on bodily functions, highlighting the importance of a balanced diet. It delves into the specifics of carbohydrates, proteins, and fats, as well as the vital contributions of vitamins, minerals, and water. Additionally, it examines dietary supplements, discussing their potential benefits in supporting optimal health and preventing deficiencies. Upon completion of this week’s lessons, the aspiring fitness professional will be able to: 9 videos10 readings7 assignments3 plugins The digestive system is vital for breaking down the food and liquids we consume, absorbing nutrients and energy, and eliminating waste. It consists of three main parts: the head and neck, the upper gastrointestinal (GI) tract, and the lower GI tract, each playing a role in digestion and absorption. Organs like the gall bladder, liver, and pancreas produce enzymes and acids to aid digestion. Physical activity can enhance intestinal motility, supporting weight control. Effective weight management involves balancing calorie intake with energy expenditure, following the first law of thermodynamics. Understanding these processes helps in maintaining overall health and fitness. Upon completion of this week’s lessons, the aspiring fitness professional will be able to: 6 videos6 readings5 assignments Effective weight control requires a combination of practical dietary strategies and awareness of current eating patterns. Keeping a food record, reading nutritional information, and identifying mindless eating can help individuals understand their dietary habits and make necessary adjustments. Common high-calorie, low-nutritional value foods should be reduced or eliminated in favor of healthier options. Portion control is crucial, with methods such as using smaller plates and avoiding buffets being beneficial. Additionally, correctly reading food labels and making informed choices when dining out can significantly reduce calorie intake. Overall, understanding the balance between calories consumed and expended is key to successful long-term weight management. Upon completion of this week’s lessons, the aspiring fitness professional will be able to: 7 videos6 readings7 assignments5 plugins Understanding the complex relationship between body weight, body composition, and health is essential for effective weight management and disease prevention. Various diseases and conditions, including cardiovascular disease, diabetes, and certain cancers, are significantly influenced by nutrition and body composition. Factors contributing to weight gain and loss encompass environmental, behavioral, and genetic influences. Physical activity plays a pivotal role in weight management, incorporating cardiorespiratory training, resistance training, and activities of daily living. Establishing a balance between calorie consumption and expenditure is crucial to maintaining a healthy weight. Effective weight management strategies combine proper nutrition, regular physical activity, and awareness of the body's energy needs to promote overall health and prevent chronic diseases. Upon completion of this week’s lessons, the aspiring fitness professional will be able to: 3 videos6 readings5 assignments4 plugins The final quiz assesses your knowledge and ability to apply crucial nutrition science and exercise physiology components. Throughout the course, you explored macronutrients and micronutrients, the digestive system, the science of weight control, dietary strategies for weight management, eating disorders, and physical activity strategies. This quiz will test your grasp of these concepts and prepare you for practical applications in nutrition and personal training. The final peer-reviewed assignment aims to assess your practical skills in identifying and analyzing macronutrient sources, explaining their roles in the diet, and providing recommendations for optimizing nutrient balance to support weight management goals. By completing it, you will demonstrate your understanding of the roles and sources of macronutrients in the diet and your ability to evaluate dietary plans for specific fitness goals. 1 assignment1 peer review

5 modules

Beginner level

18 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/nutrition-and-weight-management-for-fitness-professionals

Advanced Data Visualization with Tableau

1,894

4.8

Skill-Up EdTech Team

SkillUp EdTech

['Data Preparation', 'Data Analysis', 'Dashboard', 'Tableau Software', 'Data Visualization']

This advanced Tableau course covers a broad variety of topics to provide you with advanced analytics and data visualization skills. The course walks you through connecting Tableau to SQL databases, creating data linkages, and creating hierarchies for effective analysis, starting with data connectivity and modeling. You will work with sophisticated modeling approaches, execute computations, and optimize data models for performance. The course has a strong emphasis on controlling data granularity, utilizing calculated fields, and investigating expressions for ‘Level of Detail’ in complicated analytics. Topics include effective data transfer, tooltips, hierarchical navigation, and creating user-friendly interfaces. By incorporating interactivity through actions and linking between dashboards, you’ll create seamless data journeys that empower users to explore and analyze information effortlessly. Throughout the course, you will have opportunities to practice what you have learned. Hands-on labs and projects are inspired from real-world scenarios, to equip you with the advanced, practical Tableau skills that employers seek in today’s job market. In this module, you will learn to elevate your business analysis capabilities by using the full potential of Tableau’s diverse data connectivity features. You will learn about Tableau’s connectivity features and gain insights into business operations across diverse platforms. Learn to track performance metrics, analyze customer behavior, and optimize operational efficiency for informed decision-making. You will explore Tableau’s data relationship capabilities to seamlessly integrate and compare data sets, enhancing your ability to derive valuable insights. Use data model optimization techniques for efficient calculations and a smoother user experience, elevating the effectiveness of your data analysis processes. Additionally, you will gain skills to combine data from various sources, identify trends, and make informed decisions, all while optimizing performance in data analysis and dashboard design. Through hands-on exercises and practical applications, you will learn to seamlessly integrate data from various sources, enabling comprehensive insights into business operations and informed decision-making. 12 videos2 readings3 assignments6 plugins In this module, you will learn how to format data and create a visualization for a better user experience. In lesson 1, you will explore advanced formatting techniques and tooltips. The formatting techniques include fonts, colors, shapes, images, layout, and text objects. With advanced formatting, you will also learn to customize your layouts to make them easy to view on any device. Next, you will delve into tooltips and their application to data insights. Tooltips also help enhance the user experience. In lesson 2, you will learn to create a story using Tableau features such as formatting, layouts, and tooltips. A story comprises story points, dashboards, graphs, and maps. You will explore ways to share these stories and dashboards securely with your stakeholders. Lastly, you will learn to choose a secure sharing option based on certain factors. 7 videos1 reading3 assignments5 plugins In this module, you’ll complete a final project where you’ll apply the knowledge and skills you’ve learned throughout the course to complete a data visualization project from start to finish. Then, you will complete the final quiz to validate your knowledge. 2 readings1 assignment1 peer review4 plugins

3 modules

Intermediate level

11 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/advanced-data-visualization-with-tableau

Managing, Describing, and Analyzing Data

4,667

4.6

Wendy Martin

University of Colorado Boulder

['analyzing data', 'describing data', 'graphing data', 'using R']

In this course, you will learn the basics of understanding the data you have and why correctly classifying data is the first step to making correct decisions. You will describe data both graphically and numerically using descriptive statistics and R software. You will learn four probability distributions commonly used in the analysis of data. You will analyze data sets using the appropriate probability distribution. Finally, you will learn the basics of sampling error, sampling distributions, and errors in decision-making. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Upon completion of this module, students will be able to use R and R Studio to work with data and classify types of data using measurement scales. 7 videos3 readings2 quizzes2 discussion prompts Upon completion of this module, students will be able to use R and RStudio to create visual representations of data, and calculate descriptive statistics to describe location, spread and shape of data. 11 videos3 quizzes2 discussion prompts Upon completion of this module, students will be able to apply the rules and conditions of probability and probability distributions to make decisions and solve problems using R and R Studio. 8 videos2 quizzes1 discussion prompt Upon completion of this module, students will be able to use R and RStudio to characterize sampling and sampling distributions, error and estimation with respect to statistical inference. 8 videos2 quizzes1 discussion prompt Upon completion of this module, students will be able to use R and RStudio to perform statistical tests for two groups with independent and dependent data. 13 videos2 quizzes

5 modules

Beginner level

https://www.coursera.org/learn/managing-describing-analyzing-data

Sports and Society

34,214

4.8

Orin Starn

Duke University

[]

Sports play a giant role in contemporary society worldwide. But few of us pause to think about the larger questions of money, politics, race, sex, culture, and commercialization that surround sports everywhere. This course draws on the tools of anthropology, sociology, history, and other disciplines to give you new perspectives on the games we watch and play. It's the new and improved version of Professor Orin Starn's original "Sports and Society" for Coursera, which drew more than 40,000 students. We will focus on both popular sports like soccer (or “football,” as anyone outside America calls it), basketball, and baseball, and also lesser-known ones like mountain-climbing and fishing. You will never watch or think about sports in the same way again. 7 videos7 readings1 assignment 7 videos1 assignment 9 videos1 assignment 9 videos1 assignment 6 videos1 assignment 4 videos1 assignment 6 videos1 assignment

7 modules

12 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/sports-society

98%

Supply Chain Management Specialization

194,799

4.8

Rudolf Leuschner, Ph.D.

Rutgers the State University of New Jersey

['Forecasting', 'Lean Six Sigma', 'Supply Chain Risk Management', 'Logistics', 'Supply Chain']

This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy. The Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the flow of products, information, and finances link together the global economy. The Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course, you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case. Interested in learning advanced supply chain topics? Check out the other Rutgers specializations. Have you ever wondered how goods get delivered to us so quickly as soon as we order them? One word: Logistics! In this introductory Supply Chain Logistics course, I will take you on a journey to this fascinating backbone of global trade. We cover the three major building blocks of logistics networks: transportation, warehousing, and inventory. After completing this course, you will be able to differentiate the advantages and disadvantages of different modes of transportation. You will understand what goes into designing and setting up a warehousing facility. Finally, you will be able to select the options that enable you to develop logistics networks, that minimize costs and deliver top customer service. This is an introductory course designed to provide you with a start on your learning journey in logistics. You do not need to have any background in logistics, but it would be beneficial if you had a basic understanding of business concepts. Join me and we will learn together about logistics! Interested in learning advanced supply chain topics? Check out the Supply Chain Excellence MasterTrack™ Certificate: https://www.coursera.org/mastertrack/supply-chain-excellence-rutgers Have you ever wondered how products and services are created exactly the same thousands of times over? And how companies are able to smooth out operations to manufacture efficiently, effectively, and without any waste? How is such precision possible? The answer lies at the heart of operations. In the Supply Chain Operations course, we introduce and apply essential process improvement tools to achieve perfection. After completing this course, you will be able to apply the Six Sigma methodology for process improvement. You will demonstrate that you understand the basic tenets of the Lean philosophy that enables manufacturers to eliminate waste and make processes more efficient. Finally, you will be able to apply the tools that you just gained to improve a process of your own. This is an introductory course designed to provide you with a start on your learning journey in operations. You do not need to have any background in operations, but it would be beneficial if you had a basic understanding of business concepts, a working knowledge of spreadsheets, and ideally have mastered the Supply Chain Logistics course. Join me and we will learn together about operations! Have you ever wondered how companies know how much to produce in advance so that they do not make too much or too little? Matching supply and demand requires planning. This course introduces you to the exciting area of supply chain planning. Part of a broader specialization on Supply Chain Management, you will master different forecasting techniques, essential for building a Sales and Operations Plan. At the completion of this course you will have the tools and techniques to analyze demand data, construct different forecasting techniques, and choose the most suitable one for projecting future demand. Have you ever wondered how companies manage relationships with their thousands of suppliers? Sourcing is an important part of managing a successful supply chain. This course introduces you to the exciting area of supply chain sourcing. Part of a broader specialization on Supply Chain Management, you will master the supplier selection process and supplier segmentation. At the completion of this course you will have the tools and techniques to find the right vendors and maintain the right relationship with any one of your existing suppliers. Have you ever wondered what it takes to manage a successful supply chain? It all comes down to the right strategy. Supply Chain Management Strategy is the indispensable direction for managing a successful supply chain. This course is the capstone of the Supply Chain Management specialization. While, it is strongly recommended that you take all courses in this specialization, you do not have to if you believe you already have those skills. You will use the tools acquired in the previous four courses to create a supply chain management strategy in a real-life case scenario. At the completion of this course you will have shown mastery of the tools and techniques to successfully manage a complex network of companies that we call the supply chain.

5 course series

Beginner level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/supply-chain-management

Advanced Business Analytics Capstone

9,369

4.3

Manuel Laguna

University of Colorado Boulder

[]

The analytics process is a collection of interrelated activities that lead to better decisions and to a higher business performance. The capstone of this specialization is designed with the goal of allowing you to experience this process. The capstone project will take you from data to analysis and models, and ultimately to presentation of insights. In this capstone project, you will analyze the data on financial loans to help with the investment decisions of an investment company. You will go through all typical steps of a data analytics project, including data understanding and cleanup, data analysis, and presentation of analytical results. For the first week, the goal is to understand the data and prepare the data for analysis. As we discussed in this specialization, data preprocessing and cleanup is often the first step in data analytics projects. Needless to say, this step is crucial for the success of this project. In the second week, you will perform some predictive analytics tasks, including classifying loans and predicting losses from defaulted loans. You will try a variety of tools and techniques this week, as the predictive accuracy of different tools can vary quite a bit. It is rarely the case that the default model produced by ASP is the best model possible. Therefore, it is important for you to tune the different models in order to improve the performance. Beginning in the third week, we turn our attention to prescriptive analytics, where you will provide some concrete suggestions on how to allocate investment funds using analytics tools, including clustering and simulation based optimization. You will see that allocating funds wisely is crucial for the financial return of the investment portfolio. In the last week, you are expected to present your analytics results to your clients. Since you will obtain many results in your project, it is important for you to judiciously choose what to include in your presentation. You are also expected to follow the principles we covered in the courses in preparing your presentation. This week your goal is to understand the data and prepare the data for analysis. As we discussed in this specialization, data preprocessing and cleanup is often the first step in data analytics projects. Needless to say, this step is crucial for the success of this project. We've selected a few videos from Courses 2 and 4 for you to review before completing this week's assignments. Dealing With Missing Values and Dealing with Outliers videos will remind you how to perform preliminary data cleanups. The last part of the assignments ask you to construct data visualizations. You may find the ideas discussed in What is Good Data Visualization? and Graphical Excellence useful. 5 videos2 readings1 peer review This week you will perform some predictive analytics tasks, including classifying loans and predicting losses from defaulted loans. You will try a variety of tools and techniques this week, as the predictive accuracy of different tools can vary quite a bit. It is rarely the case that the default model produced by ASP is the best model possible. Therefore, it is important for you to tune the different models in order to improve the performance.This week’s assignments require you to build predictive models for both classification and regression tasks. <p> Before working on the assignments, you may review a few videos to remind yourself several important concepts, such as cross validation. These concepts are discussed in the videos Cross Validation and Confusion Matrix and Assessing Predictive Accuracy Using Cross-Validation. You may also find a refresher on XLMiner useful. The videos Building Logistic Regression Models using XLMiner and How to Build a Model using XLMiner discuss how to build logistic regression and linear regression models. Depending on your needs, you may also go back to the videos that discuss how to build trees and neural networks. </p> 4 videos1 peer review This week we turn our attention to prescriptive analytics, where you will provide some concrete suggestions on how to allocate investment funds using analytics tools, including clustering and simulation-based optimization. You will see that allocating funds wisely is crucial for the financial return of the investment portfolio. <p>The relevant videos for this week are from Course 3: Week 1: Cluster analysis with XLMiner, Week 2: Adding uncertainty to spreadsheet model, Week 2: Defining output variables and analyzing results. </p> 1 peer review You have done a lot so far! In this last week, you will present to your analytics results to your clients. Since you have many results in your project, it is important for you to judiciously choose what to include in your presentation. Several videos in Course 4 offer some guidelines on communicating analytics results. This assignment will give you an opportunity to apply the skills you learned there. Good luck! 1 peer review

4 modules

Intermediate level

19 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/data-analytics-business-capstone

Piling Construction and practices Specialization

Enrollment number not found

4.2

Subject Matter Expert

L&T EduTech

['Proficiency in pile design terminology, code requirements, and technical expertise in BCIS pile construction and design for both normal and rocky conditions.']

Our specialization in Piling Construction and Practices comprises three meticulously designed courses, each providing essential knowledge and practical skills in various aspects of piling. The "Introduction to Pile Foundation" course initiates learners into foundational pile design concepts, covering diverse pile types and selection factors. Students grasp fundamental terminology, code requirements, and design considerations, laying a robust groundwork for deeper exploration. Transitioning to "Precast & Advanced Pile Foundations," learners delve into advanced techniques and materials crucial for sophisticated piling. From precast driven pile design to Steel and Continuous Flight Auger (CFA) piles, this course offers a comprehensive approach. Practical insights from case studies prepare students for real-world scenarios and contemporary piling advancements. Completing the trio is "Pile Grouping, Testing & Quality Control," focusing on critical aspects like pile testing, quality assurance, and environmental safety. Through structured examination of settlement, testing methodologies, and quality control measures, students develop skills to assess pile capacity and predict settlement. The course also addresses the vital role of bill of quantities and software tools like PLAXIS 3D. This cohesive curriculum equips learners to excel in piling construction and practices, bridging theoretical knowledge with practical application. Applied Learning Project Upon completion, learners will possess the capacity to conceptualize and proficiently execute diverse types of pile foundations. They will ensure strict adherence to code specifications, integrating industry insights at every stage of the design process. The course “Introduction to Pile foundation" adopts a multi-disciplinary approach, encompassing crucial aspects of both Geotechnical and Structural Engineering within the realm of cast-in-situ pile design. The content is organized into five modules for a comprehensive learning experience. In Module one of the course, the essentials for building a strong foundation are covered. Learners will acquire knowledge about various pile foundation types and the factors influencing its selection. Insights into the essential terminology for pile design and construction will be gained. Additionally, learners will be familiarized with the fundamental codal requirements for piles, providing a comprehensive understanding of design considerations. This module provides learners with a robust basis for further exploration in subsequent modules. In Module two of the course, learners will gain a thorough understanding of Bored Cast In Situ pile construction procedures, exploring materials, equipment, and design details. The module provides actual data to illustrate diverse soil types, ensuring a complete grasp of construction methodologies and considerations for BCIS pile projects. In Module three of the course, learners will gain the expertise needed for bored cast in situ pile design for rocks. The module provides practical insights applicable in real-world situations, going beyond theoretical principles. In Module four of the course, learners will explore Driven Cast In-Situ pile construction essentials, gaining practical knowledge through real-world case studies. This enables the acquisition of skills needed for confident implementation of DCIS pile projects and successful hands-on application in construction and design. In Module five of the course, learners will be gaining skills to identify equipment and materials for on-site Under-Reamed pile execution, designing based on relevant data, showcasing proficiency in soil analysis, and creating practical designs tailored to specific site conditions and applications. Target Learners: Undergraduate students of Civil Engineering Post-Graduate Students of Geotechnical Engineering Practicing Engineers in Pile Construction based projects. Faculties of Civil Engineering Domain Prerequisites: Soil Mechanics Foundation Engineering Reinforced Concrete Design The "Precast & Advanced Pile Foundations" course adopts a multi-disciplinary approach, covering essential aspects of Geotechnical and Structural Engineering in Foundation design across five modules. In Module one of the course, Learners will be able to grasp Precast Driven Pile design and construction procedures, with a focus on material and equipment selection. Practical insights from a case study will enhance the learner’s ability to execute designs in real-world scenarios. In Module two of the course, Learners will be able to navigate precast pile construction in pre-bored holes, understanding crucial materials and equipment. In Module three of the course, Learners will be able to explore steel piles and Continuous Flight Auger (CFA) piles. This module equips the learners with knowledge about applications, construction techniques, and design principles for these advanced foundation systems. In Module four of the course, Learners will be able to learn the latest advancements in pile foundations, focusing on spun and helical piles. This includes understanding applications, construction techniques, and design principles, showcasing how technology optimizes contemporary foundation engineering. Target Learners: Undergraduate students of Civil Engineering Post-Graduate Students of Geotechnical Engineering Practicing Engineers in Pile Construction based projects. Faculties of Civil Engineering Domain Prerequisites: Soil Mechanics Foundation Engineering Reinforced Concrete Design Basics of Pile Foundation This course encompasses crucial aspects of Pile Grouping, Testing & Quality Control, particularly focusing on pile testing, quality control and addressing execution challenges across four informative modules. In Module one of the course, the learners will explore pile group settlement and its connection to soil properties. Also, skills for assessing pile group capacity and predicting settlement in different soil types will be gained. Transitioning to Module two, learners will acquire knowledge about various pile testing methods and how to practically apply them, validating theoretical designs. In Module three, learners will understand the importance of maintaining quality assurance and quality control in piling works. Learners will also acquire the skills needed to ensure Environment, Health & Safety operations on-site. This course empowers learners in Module four to recognize the critical role of bill of quantities in pile foundations. Understand challenges during pile execution and discover effective remedies. Additionally, gain insights into using software for pile foundation analysis, specifically focusing on mastering PLAXIS 3D. Target Learners: Undergraduate students of Civil Engineering Post-Graduate Students of Geotechnical Engineering Practicing Engineers in Pile Construction based projects. Faculties of Civil Engineering Domain Prerequisites: Soil Mechanics Foundation Engineering Reinforced Concrete Design Basics of Pile Foundation

3 course series

Advanced level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/piling-construction-and-practices

Navigating Generative AI for Leaders Specialization

2,133

4.9

Jeff Maggioncalda, Coursera CEO

Coursera

['AI as a thought-partner', 'Leading AI change', 'AI product innovation', 'AI ethics and risks', 'AI strategy', 'Generative AI', 'AI Productivity', 'AI as a thought-partner', 'Leading AI change', 'AI product innovation', 'AI ethics and risks', 'AI strategy', 'Generative AI', 'AI Productivity']

Created by a CEO for CEOs, this program is your key to unlocking the transformative power of GenAI. It features hands-on labs with access to Google Gemini Pro in a secure, private environment. These labs not only teach you how to use GenAI, but also how to apply it to design your GenAI strategy, identify specific opportunities to enhance customer value, increase productivity, and navigate risks and ethical considerations in order to move quickly but safely in adopting generative AI. Learn from the best in the field, including Andrew Ng, worldwide AI expert and Coursera co-founder; Clara Shih, CEO of Salesforce AI; Steve Jarret, Chief AI Officer of Orange Telecom; and Alondra Nelson, author of the Biden administration’s “AI Bill of Rights.” These expert insights, updated quarterly, will keep you at the cutting edge of GenAI developments. Applied Learning Project This program includes over 15 hands-on labs designed to take you hands-on with powerful large language models to learn generative AI while you build your generative AI strategy. Through video examples, curated example prompts and guidance on how to use generative AI as your thought partner, you’ll become an AI-powered leader and develop a first draft of your strategy to adapt to this new technology. Projects include: CEO toolkit: Use GenAI as a "Thought Partner" Use GenAI to find ways to create value Use GenAI to find ways to improve productivity Use GenAI to analyze competitive dynamics Analyze how GenAI might impact your Value Proposition Why GenAI is critically important for CEOs to understand How to start your AI journey What AI is and what it can do How to go hands on with Generative AI to enhance your performance as a CEO How GenAI is poised to impact the business world How to develop a GenAI strategy How businesses are developing and deploying their GenAI How to prepare your workforce for Generative AI change How to engage critical stakeholders about your GenAI strategy The importance of upskilling your team to adopt GenAI The meaning of Responsible AI The risks and concerns associated with GenAI Perspectives on how to navigate these risks

4 course series

Beginner level

1 month (at 4 hours a week)

https://www.coursera.org/specializations/navigating-generative-ai-for-leaders

Using Python to Interact with the Operating System

257,411

4.7

Google Career Certificates

Google

['Automating System Administration Tasks with Python', 'Setting up your Development Environment', 'Bash Scripting', 'Regular Expression (REGEX)', 'Testing in Python']

By the end of this course, you’ll be able to manipulate files and processes on your computer’s operating system. You’ll also have learned about regular expressions -- a very powerful tool for processing text files -- and you’ll get practice using the Linux command line on a virtual machine. And, this might feel like a stretch right now, but you’ll also write a program that processes a bunch of errors in an actual log file and then generates a summary file. That’s a super useful skill for IT Specialists to know. We’ll kick off by exploring how to execute Python locally, and organize and use code across different Python files. We'll then learn how to read and write different types of files, and use subprocesses and input streams. We'll also dive into Bash scripting and regular expressions -- both very powerful tools for anyone working with systems. We'll even touch on automatic testing, which allows us to automate how we check if our code is correct. To finish, we’ll put all this together by using the tools that we’ve acquired to process data and generate automatic reports. We’ll also explain how to set up your own developer environment in your machine. This is a key step in being able to write and deploy powerful automation tools. In this module, you’ll learn about the different types of operating systems, and how you can get your python code ready to interact with the operating system. We’ll learn about getting your environment set up and installing additional Python modules that will help you along the way. We’ll rundown interpreted versus compiled language, and how they differ from each other. We’ll dive into the benefits of automation, and point out common pitfalls so you can avoid them. Finally, we’ll learn about Qwiklabs, which will be used for graded assessments. 15 videos6 readings1 quiz3 assignments In this module, you’ll learn about reading and writing to files and the commands that will enable you to do this. We’ll learn the importance of managing files and how we can navigate through different directories. You’ll understand how to work with files and how there is a layer of abstraction between Python and the operating system. Finally, we’ll dive into learning about CSV files and how to best utilize them. 15 videos16 readings4 assignments1 app item1 ungraded lab In this module, you’ll learn about what a regular expression is and why you would use one. We’ll dive into the basics of regular expressions and give examples of wildcards, repetition qualifiers, escapare characters, and more. Next up, we’ll explore advanced regular expressions and deep dive on repetition qualifiers. You’ll tackle new exercises like capturing groups and extracting PIDs using regexes. Finally, we’ll provide a study guide to serve as your go-to guide for regular expressions. 14 videos14 readings4 assignments1 app item In this module, you’ll learn about reading and writing to data files based on an interaction with the user. Along the way, we’ll dive into standard streams, environment variables, and command line arguments. Next, we’ll jump into Python subprocesses, including system commands and how they can be used. We’ll review how to obtain output from a system command, and dive into subprocess management, including how to check exit values and manipulate the normal versus error exit values. Finally, we’ll rundown processing log files, and will cover what a log file is, how to filter log files using regular expressions, and how to understand the output captured from log files. 12 videos13 readings1 quiz3 assignments1 app item In this module, you’ll learn how to create tests in Python. We’ll cover what testing is all about and dive into the differences between manual versus automated testing. Next, we’ll explore what unit tests are intended to do and how to write them. Then, we’ll learn about other test concepts like black box versus white box tests and how test-driven development can frame how you design and write your code. Finally, you’ll learn about errors and exceptions, and how to combat them. 14 videos16 readings1 quiz2 assignments1 app item2 ungraded labs In this module, you’ll be exposed to what the Linux OS has to offer and you'll learn about Bash scripting. We’ll go over basic Linux commands and explore the many processes Linux has to offer, including a key concept called redirection. We’ll then deep dive into creating Bash scripts using variables and globs. Finally, we’ll learn about advanced Bash concepts and develop an understanding of when to use Bash versus Python. 13 videos17 readings1 quiz3 assignments1 app item In this module, you’ll put everything you’ve learned so far into action! You’ll apply your scripting knowledge to tackle a challenging final project: writing a script that scans for a specific error in the log files. You'll create a problem statement to understand the challenge, conduct some research to see what options are available, then begin planning how you intend to solve the problem. Lastly, you'll write the code to implement your solution! 7 videos7 readings1 quiz1 app item

7 modules

Beginner level

https://www.coursera.org/learn/python-operating-system

94%

Prepare for AZ-204: Developing Solutions for Microsoft Azure

4,949

4.6

Microsoft

Microsoft

['Test Preparation', 'Microsoft Azure']

Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses.​​ In this course, you will prepare to take the Exam AZ-204: Developing Solutions for Microsoft Azure. In this course, you will refresh your knowledge of hall phases of cloud development from requirements, definition, and design; to development, deployment, and maintenance; to performance tuning and monitoring. You will test your knowledge in a practice exam​ mapped to all the main topics covered in the AZ-204 exam, ensuring you’re well prepared for certification success. Y You will also get a more detailed overview of the Microsoft certification program and where you can go next in your career. You’ll also get tips and tricks, testing strategies, useful resources, and information on how to sign up for the AZ-204 proctored exam. By the end of this course, you will be ready to sign-up for and take the certification exam.​ This is the last course in a program of eight courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Developing Solutions for Microsoft Azure exam is an opportunity to prove knowledge expertise in designing, building, testing, and maintaining cloud applications and services on Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. In this module, you’ll also have access to resources that will help you to prepare for the proctored exam, enhance your study techniques, and help develop successful exam strategies. You will have an opportunity to explore some other Microsoft certifications paths that can help to advance your career. 6 videos8 readings1 discussion prompt In this module, you will have an opportunity to recap some of the key points covered in the Developing Solutions for Microsoft Azure Specialization. 8 videos In this module, you will take a practice exam that covers the skills measured in the ExamAZ-204: Developing Solutions for Microsoft Azure. 2 videos3 readings1 assignment

3 modules

Intermediate level

7 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/az-204-developing-solutions-for-microsoft-azure

International Security Management

29,037

4.7

Alice Raven

Erasmus University Rotterdam

[]

In this MOOC you will learn about the colorful and diverse international security landscape, and gain insights into challenging topics including Open Source Intelligence, serious organised crime and illicit trade. You will also meet stakeholders from different sectors and backgrounds. We recorded our videos at different locations in Europe to also give you an insight into the original environment of our contributing experts. You will realize that the style and focus of the various presentations will differ from one week to the other. We feel that this is a big asset! And yes, we also have men in suits and uniforms... Welcome to the first week of our MOOC! During this week you will be introduced to the international security landscape, it's actors and why this landscape concerns us all. 7 videos3 readings1 discussion prompt Welcome to week 2 of our MOOC! During this week we will take a closer look into the concept of security management as well as the underlying challenges. The week concludes with an exercise in which you can conduct your own risk assessment. 10 videos9 readings This week focuses on Internet Intelligence and Investigation (the three "I's"). This concept is sometimes also referred to as Open Source Intelligence or OSINT. In addition to learning how the Internet contributes to the management of security, you will also learn how technological developments have influenced security management over the past decades. 3 videos2 readings1 assignment You are past the half-way point of our MOOC! During week 4 you will learn more about the concept of serious organised crime. Where does terrorism fit into serious organised crime and what are some of the treats emerging on the horizon? Read on to learn more... 8 videos1 reading1 assignment This week takes a step back from the various facts and figures provided in the previous weeks and examines why leadership is an important element when addressing global challenges, including safety and security. 17 videos1 reading Welcome to the penultimate week of our MOOC! This week provides a very detailed overview of illicit trade. What are the consequences of illicit trade, why does it concerns everyone, and what can you do yourself? These questions and more will be answered! 17 videos1 assignment You have made it to the final week of our MOOC! Let's take a look at safety from a more positive angle. What makes you feel safe in your day-to-day life and can taking a calculated amount of risk also be a positive approach to safety? In addition to covering these questions, we will also ask you to re-evaluate whether your definition of safety has changed following the completion of our MOOC. 6 videos4 readings1 discussion prompt

7 modules

Beginner level

https://www.coursera.org/learn/international-security-management

97%

Introduction to Juniper Cloud Concepts Specialization

Enrollment number not found

4.3

Tanveer

Juniper Networks

['Junos Operating System', 'Cloud', 'Openstack', 'Kubernetes', 'Junos Operating System', 'Cloud', 'Openstack', 'Kubernetes']

This Introduction to Juniper Cloud Concepts specialization provides students with the foundational knowledge required to with basic cloud components in a Juniper environment. The course summarizes cloud concepts, virtual networks, and cloud management. The specialization provides an overview of fundamental cloud concepts, Linux virtualization, and containerization. The course then explores concepts of network virtualization, software-defined networking (SDN) and Network Functions Virtualization (NFV). The course also introduces OpenStack, Kubernetes. Upon completing this specialization, students will understand virtual networks. Applied Learning Project This specialization includes additional reading assignments that provide students with extra information to expand on the knowledge ganied in these courses. The specialization also includes quizzes to help the student gauge their understanding of the material. In this course, you will learn fundamental cloud computing concepts. This course covers key benefits of cloud computing, cloud service models such as SaaS and IaaS; public, private and hybrid cloud deployment models and open-source cloud technologies. You will learn about Linux virtualization techniques, QEMU-KVM, Libvirt and popular cloud instance initialization approach cloud-init. This course covers the concepts of namespaces and how to connect them through Linux bridges and OpenvSwitch. You will also learn about containerization through Docker, Dockerfile and Docker networking. In this course, we will explain two open-source cloud management and orchestration platforms—OpenStack and Kubernetes. You will learn about different OpenStack concepts and the process to create virtual machines in OpenStack using the Web interface and the command line. You will also learn to automate these deployments using YAML-based Heat templates. OpenStack networking constructs, such as security groups and Floating IPs, will be covered in this course as well. The course will introduce you to Kubernetes architecture, API objects such as Pods and Services, the kubectl interface and integration with a CNI plugin for networking. The course will also demonstrate how an application can be deployed using Kubernetes. This course will learn about the concepts of a virtual network, underlays and overlays, as well as tunneling protocols such as VXLAN. The course will explore Network Functions Virtualization (NFV) and software-defined networking (SDN) approaches.

3 course series

Beginner level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/juniper-networks-cloud-intro

Application Programming Fundamentals

2,665

4.4

Evan Bergman

LearnQuest

['logic', 'Computer Programming', 'Python Programming', 'numeric operators', 'Design Pattern']

In Object-Oriented Concepts, we will introduce the core concepts behind modern, object-oriented, programming. We will discuss objects, classes, messaging, inheritance, polymorphism, and more. As with Fundamentals of Programming, we will illustrate the concepts using the Python language, but they will be portable to other object-oriented programming languages. This course includes hands-on labs where you will learn to write and execute programs. In this module we'll review what you will be learning, and we'll start off with the basic concepts of programming. We will discuss what programs are, and what common elements you would come across in almost any mainstream programming language. Foremost, we'll try to get across the essential spirit and challenge of computer programming. 8 videos4 readings1 assignment1 discussion prompt2 ungraded labs Is this module, we will cover all of the fundamental programming elements that we intend to cover for this course. These elements include a few data types, specifically numbers, strings, Booleans and arrays. Given those data types, we'll talk about operators that work on them. We'll put those things together into expressions, and learn to use variables. Moving on, we'll learn to package reusable code in subroutines, and to incorporate both conditional and repetitive execution. Throughout, you'll have hands-on exercises to try these things, yourself. And by the end of the course, you'll be surprised by what we can do with just this handful of concepts. 7 videos2 readings1 assignment3 ungraded labs1 plugin Algorithms are language independent descriptions of the sequences of steps necessary to carry out a task. In this module, we'll look at what that means, talk about the importance of algorithms and logical thinking, and go into some detail on a simple, classic, algorithm. 2 videos1 reading1 assignment1 ungraded lab Design Patterns are language independent architectural blueprints to help address particular problem domains. They describe the types of components that make up the micro-architecture and the interactions both inside the design pattern and with the design pattern. In this module, we'll look at that in more detail, discuss the importance of design patterns, where you would find them, and we'll discuss a few design patterns. In lab, you'll explore a very simple design pattern. 2 videos1 reading1 assignment1 discussion prompt1 ungraded lab

4 modules

Beginner level

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/application-programming-fundamentals

Lesson | Business English Skills: How to Navigate Tone, Formality, and Directness in Emails

54,957

4.5

Richard Moore

University of Washington

[]

This lesson is part of a full course, Business English Networking. Take this lesson to get a short tutorial on the learning objectives covered. To dive deeper into this topic, take the full course. By the end of this lesson, you will be able to: - Distinguish between formal and informal language - Distinguish between direct and indirect language - Choose the appropriate tone based on your relationship with your recipient, the context, and request This lesson is part of a full course, Business English Networking. Take this lesson to get a short tutorial on the learning objectives covered. To dive deeper into this topic, take the full course. By the end of this lesson, you will be able to: (1) Distinguish between formal and informal language; (2) Distinguish between direct and indirect language; and (3) Choose the appropriate tone based on your relationship with your recipient, the context, and request. 4 videos2 readings3 assignments

1 module

Intermediate level

https://www.coursera.org/learn/business-english-skills-how-to-navigate-tone-formality-directness-in-emails

99%

Drug Hunting: The Science of Making New Medicines Specialization

2,245

4.9

Erland Stevens, PhD

Novartis

['Preclinical Testing', 'Safety Monitoring', 'Assay', 'Pharmacodynamics', 'Pharmaceutical Formulation', 'High Throughput Screening']

In collaboration with Davidson College, this specialization is intended for a graduate level audience with a life sciences background seeking to learn about preclinical drug discovery. Preclinical drug discovery is a complex, challenging, and iterative hunt for novel new medicines to address the unmet medical needs of patients.  The science and considerations behind this endeavor are covered in this online specialization composed of 6 courses, which begins with an Introduction to Drug Hunting, followed by in-depth discussions of Targets, Assays and Screening, Lead Selection and Optimization, Pharmacokinetics, Preclinical Safety, and Preformulation.  The specialization is self-paced, with each course comprised of short 5-minute videos covering selected topics, accompanied by additional readings and problems designed to reinforce and deepen understanding of those topics. Applied Learning Project Learners will develop their knowledge of preclinical drug discovery through a combination of short 5-minute videos covering selected topics, accompanied by additional readings and problems designed to reinforce and deepen understanding of those topics. The different steps of preclinical drug discovery and clinical trials; introduction to the subject of drug hunting. Promising compounds used in the hunt for novel drugs.  Types of assays & methods used to screen molecule libraries.  Methods for hit validation. This course begins with a review of routes of administration, ADME (absorption, distribution, metabolism, & excretion), and the use of in vivo drug concentration-time data to determine key pharmacokinetic parameters, like volume of distribution, half-life and clearance.  The course then emphasizes in vitro assays that allow rapid prediction of ADME and PK properties for evaluation of new compounds.  The later stages of the course focus on how drug discovery teams study this PK/PD relationship, as well as dose size and frequency predictions which ultimately assist in selection of a compound for advancement into the clinic. This course is suitable for life scientists, clinicians, and individuals from fields that support drug discovery (e.g., patents, finance, licensing, etc.) interested in learning more about the pharmaceutical/biotechnology sector. Advanced undergraduate coursework or practical familiarity/working knowledge in biological sciences and organic chemistry is recommended. Patient safety is of paramount importance for any drug discovery program.  This course looks at some of the lessons learned which have influenced how promising molecules are currently evaluated for safety risks.  In vitro and in vivo toxicology and safety studies are discussed, why they are performed, and how the data they provide guide a safety risk assessment, including determining a therapeutic index or safety window for a drug.  Finally, the course will look at how safety data guide human dose selection, and some of the studies performed during clinical development. Target audience: This course is suitable for life scientists, clinicians, and individuals from fields that support drug discovery (e.g., patents, finance, licensing, etc.) interested in learning more about the pharmaceutical/biotechnology sector. Advanced undergraduate coursework or practical familiarity/working knowledge in biological sciences and organic chemistry is recommended. This course covers the stages of drug discovery in which promising compounds (leads) are identified, their optimal and suboptimal characteristics determined, and the suboptimal characteristics optimized to create a candidate suitable for the clinic.  The course is built around a case study on the discovery of an antimalarial therapy.  Assays useful for screening new compounds are outlined, examples of selection criteria for leads are discussed - such as potency, efficacy, and pharmacokinetics - and the structure activity relationships that contribute to the optimization of a lead series are considered.  The phenotypic approach used by the antimalarial program will be briefly contrasted with a target-based program on a different target. Target audience: This course is suitable for life scientists, clinicians, and individuals from fields that support drug discovery (e.g., patents, finance, licensing, etc.) interested in learning more about the pharmaceutical/biotechnology sector. Advanced undergraduate coursework or practical familiarity/working knowledge in biological sciences and organic chemistry is recommended. In this course we will focus on how active compounds are developed into a formulation suitable for dosing in animal studies and early human clinical trials.  Factors such as the route of administration, enhancing the solubility of the drug substance, the crystalline form of the drug substance, drug substance vs. drug product, storage requirements, and how special requirements of the patient population play a role in the design of an ideal formulation will be covered.  Finally, some of the differences encountered when formulating a biologic vs. a small molecule will be discussed. Target audience: This course is suitable for life scientists, clinicians, and individuals from fields that support drug discovery (e.g., patents, finance, licensing, etc.) interested in learning more about the pharmaceutical/biotechnology sector. Advanced undergraduate coursework or practical familiarity/working knowledge in biological sciences and organic chemistry is recommended.

6 course series

Intermediate level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/drug-hunting-discovery-and-development

Emphasizing Christian Formation

Enrollment number not found

Rating not found

Jung Choi

Duke University

['Theology', 'Christian formation', 'Methodism', 'theology', 'ministry', 'Spiritual Direction', 'spiritual direction', 'methodism']

Welcome to Emphasizing Christian Formation. This course examines how Methodism’s deep-rooted attention to Christian formation can nurture both gifts and character in our communities. We’ll see how Methodist formation hinges upon the Methodist doctrine of holiness. We’ll consider how innovations in the complementary practices of preaching and fellowship were directed to holiness and fueled the growth of Methodism in 18th-century England. We will also consider how education contributes to our growth as disciples of Christ. Drawing on these lessons allows us to rethink the practices of our own communities. Finally, we will learn that the Methodist way of Christian formation finds its fullest expression in prayer. Throughout four weeks, you will learn the definition of Christian formation— and how to connect this to your church and individual practices and forming diverse communities of faith. In each week of the course, you’ll be asked to reflect on scripture to guide you to take practical steps in how to incorporate theology in your own worship, fellowship, teaching, and mission. If you are a pastor or ministry professional in need of Continuing Education Unit (CEU) credits for your professional development, CEU credits are available for this course. Upon successful completion of this course, you can provide your Coursera certificate and the course description to your employer for recognition of earning 0.5 CEUs. Contact [email protected] with any questions regarding CEUs for this course. Each of the 5 courses in the Rediscovering the Heart of Methodism specialization is worth 0.5 CEUs, for a total of 2.5 CEUs for completing all of the courses. This course is part of the Rediscovering the Heart of Methodism series. This is one of five 4-week online courses designed to help engaged laypeople and clergy (including local pastors in licensing schools) develop core capacities for innovative leadership within the Wesleyan tradition. Through this series, we hope you will experience a deeper grounding in the distinctive elements of Methodism at its best, and a renewed capacity for hopeful, imaginative participation in the mission of God. “Christian perfection” is the goal of our formation in Christ, but this doctrine has long been neglected or misunderstood. Far from being an obscure museum piece, the Methodist doctrine of holiness invites us to nurture the character of Christ and cultivate the gifts of the Spirit. To renew the heart of Methodism, we must tend the flame of holiness. 1 video9 readings2 assignments2 discussion prompts If the goal of our formation is Christian perfection, how do we pursue it? This week, we’ll take a closer look at the structures and practices the early Methodist movement developed to nurture both character and gifts. Seeing how preaching and fellowship complemented one another as the movement spread opens a path for evaluating the pathways to Christian formation in our own communities. 1 video3 readings1 assignment1 discussion prompt John Wesley and Methodists through the centuries have maintained that education plays an important role in Christian formation. Indeed, Methodists have founded institutions of higher learning around the world. This week, we’ll explore how education can still help Methodists spread scriptural holiness across the land. 1 video3 readings1 assignment1 discussion prompt Methodist prayer is intimately connected with Wesley’s emphasis on scriptural holiness. Wesley understood prayer not only as a means of grace that helps us grow toward perfection, but also as a form of being in perfection. This week, we will discover how the Wesleyan way of prayer touches the very heart of Methodism. 1 video6 readings1 assignment2 discussion prompts

4 modules

Beginner level

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/theology-emphasizing-christian-formation

Mastering UX & Business App Development with OOP

Enrollment number not found

Rating not found

Jones Yu

Northeastern University

['Software Development', 'UI/UX Design Systems', 'Java Syntax']

This course is an introduction to the Java programming language and the concepts of object-oriented design. It not only covers the fundamentals of programming in Java, but it also brings in the concepts of object-oriented design and guides students to build GUI-based applications to address real-world problems. Topics include, but not limited to, fundamentals of programming in Java, classes and methods, objects and references, overloading, inheritance, polymorphism, abstract classes and interfaces, basic data structures, and GUI applications. Students are expected to apply learned knowledge to address an identified problem found in the real world. In this module, you will be setting up the foundation to learn computation and programming, review the fundamentals of programming using Java programming language and write Java programs with basic syntax, including variables, I/O, Strings, control flow, conditions, methods, arrays, and file I/O. 6 videos52 readings1 assignment2 discussion prompts You will continue exploring object-oriented programming by focusing on the concept of arrays of objects by creating and manipulating multiple instances of objects in a sequential manner, learning how to pass objects to methods, along with an in-depth examination of class abstraction and encapsulation. You will extend your exploration to wrapper classes and harness the capabilities of String, StringBuilder, and StringBuffer classes to devise solutions for real-world problems. 5 videos40 readings2 assignments1 discussion prompt This module, you will be taking a closer look into the world of Graphical User Interface (GUI) programming which are the essential components of modern software applications, enabling users to interact with software in a visually intuitive and user-friendly manner. You will learn the fundamental principles of designing and creating basic GUI applications.During this week, you will also recall the fundamental characteristics of each GUI toolkit and articulate, and demonstrate the ability to configure a programming environment for JavaFX and apply basic programming skills to write and execute simple JavaFX applications and create user interfaces using pages, groups, UI controls and shapes. 4 videos39 readings2 assignments1 discussion prompt This module, you will be introduced to event-driven programming, a paradigm to respond to various events or actions. Primarily focusing on how applications can be designed to respond to user actions on JavaFX GUI applications. This week's topic emphasizes explaining the mechanism and designing responses for interaction in JavaFX. You will also learn about the concept of handler classes in event-driven programming, including how handler objects are registered to respond to specific events. You will learn how to describe events, event sources, and event classes and apply that to write and analyze code that effectively manages and responds to various events. 9 videos49 readings5 assignments1 discussion prompt

4 modules

Intermediate level

44 hours to complete (3 weeks at 14 hours a week)

https://www.coursera.org/learn/mastering-ux-business-app-development-with-oop

Human Resource Management: HR for People Managers Specialization

200,236

4.8

John W. Budd

University of Minnesota

['Onboarding', 'Human Resources (HR)', 'Performance Management', 'interviewing', 'managing people']

Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge? This specialization provides a robust introduction to thekey principles, policies, and practices of human resource management. The specialization begins with afoundational coursethat considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remainingthree coursestackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways. Upon completing the specialization,learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees. The specialization will be valuable formanagers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. TheCapstone Projectwill provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired. Applied Learning Project The projects apply the knowledge learned to specific work groups of your choosing (e.g., your own work team). You will learn how to proactively identify key challenges around staffing, performance management, and compensation and then use this to construct strategies and plans for addressing these challenges in the context of your chosen work group. One way or another, all employees are managed. But approaches to managing employees varying from employee-to-employee, job-to-job, manager-to-manager, organization-to-organization, and country-to-country. This course provides a foundation for developing your own approach to skillfully managing employees by illustrating alternative human resource management (HRM) strategies, introducing the importance of the legal context, and thinking about what motivates employees. This will then give you the factual and conceptual basis for developing specific, critical HRM skills in subsequent courses on hiring employees, managing performance, and rewarding employees. Don't know anything about HRM? That's OK! Leave this course with a new-found understanding of the range of options available for managing employees, a grasp of what makes workers tick, and the readiness to develop your own HRM skills. Finding and hiring the right people is often cited as the number one concern of businesses today. It seems we are all competing for the best and brightest workers. As you will see in our time together in the second course, a critical component of the People Manager Value Proposition is to hire talented people who enable the organization to achieve its strategic goals. This course is an introduction into the topic of recruitment, selection and onboarding. At the outset of the course we will explore the importance of linking recruitment goals with overall company strategy. We then look at a number of options to recruit and select employees both effectively and legally. Throughout the course we will examine current issues in talent acquisition, such as how companies are now leveraging social media and hiring analytics to ensure better quality hires. At the conclusion of the course, we look at how to onboard employees to promote employee commitment and engagement. Once you have hired good employees, the next step that successful people managers take is to develop the full potential of their employees. Performance management is a process that helps managers achieve the goal of getting the best from their employees. In this third course in the Human Resources for People Managers specialization, we will discuss the skills and key processes you will need to develop your employees to attain department and organizational goals. These skills will include setting clear expectations, providing positive and corrective feedback, and delivering an effective performance appraisal. Whether you're writing paychecks or wondering where yours comes from, this course is for you! We begin by asking: "To succeed, what kind of a person does your organization need to attract, retain, and motivate?" From there, we'll explain how to align your organization's objectives, its pay philosophy, and ultimately the way it designs and implements its salary structure, short-term incentives, long-term incentives, and benefits. Interested in learning more about the technical aspects of compensation, but don't know where to begin? We'll give an overview of key the key technical skills: compliance with pay regulations, understanding stock options, shopping for health insurance and pension providers, and designing incentive plans. Lastly, we'll discuss non-monetary methods of motivating employees. Upon completing the course, you should be able to have an understanding of compensation both strategically and technically. Learners will also gain introductory familiarity with pay regulation in the US. This specialization provides a robust introduction to the key principles, policies, and practices of human resource management, with a focus on understanding managerial choices and constraints, acquiring and onboarding talent, managing employee performance, and rewarding employees. The capstone project provides learners with the opportunity to apply these key principles and practices to a real-world workplace (including a learner's own workplace if desired). Specifically, the capstone project will involve identifying the key human resources challenges for a workplace--including the most pressing motivational, selection, performance evaluation, and reward issues. And for each of these areas, learners will devise a multi-step action plan for addressing the challenges identified.

5 course series

Beginner level

2 months (at 10 hours a week)

https://www.coursera.org/specializations/human-resource-management

Online teaching: Using Zoom to connect with learners

3,926

4.8

A/Professor Iain Hay

Macquarie University

['Video Conferencing', 'Lesson Plan', 'Virtual Class', 'Web Conferencing', 'Zoom']

Using cloud-based video conferencing platforms such as Zoom has become, for many people, a part of everyday life. This is particularly true for learners of all ages who are now spending more time online connecting with their peers or studying remotely. To ensure a successful learning experience for our online learners, educators and teachers need to feel confident designing and delivering a live Zoom class. In this course, you’ll explore the Zoom functions that are relevant to teaching a live online class, such as Zoom’s class management tools, break-out room function, chat, screen-sharing and the poll function. More importantly, this course will provide practical real-world examples of how to use these functions successfully in a live class setting, as well as provide an opportunity to design, develop and create your own Zoom lesson plan. The course is suitable for anyone who designs or delivers synchronous or live online Zoom classes. Learning Outcomes  By the end of this course, you’ll: 1. Demonstrate an understanding of the basic functions of Zoom 2. Recognise the Zoom class management tools 3. Evaluate the ways Zoom can be used to deliver engaging live online class activities 4. Design, develop and create a Zoom lesson plan Welcome to Week 1! This week we will explore how Zoom can be used to create a virtual or online classroom environment. We will take time to familarise ourselves with Zoom, the license or plans that are available, and the resources that can be accessed via the Zoom resource centre. We will then focus our attention on learning more about the appropriate Zoom controls, settings and preferences for an educational context. 10 videos8 readings2 assignments1 discussion prompt Welcome to Week 2! This week we will focus on creating a safe and supportive space for learners, and will explore privacy, security and accessibility in more detail. We will investigate Zoom's settings in an applied educational context, which will help you to confidently set up your virtual class so it is appropriate for your cohort of learners. 6 videos4 readings2 assignments Welcome to Week 3! Understanding what Zoom fatigue is can help you as an educator design virtual lessons that will prevent this feeling for you and your learners. This week we will explore techniques to assist with this and introduce the four main Zoom functionalities to increase learner interaction and lessen Zoom fatigue. 5 videos4 readings2 assignments Welcome to Week 4! This week we will continue to build your technical confidence and skills by diving deeper into Zoom tools that can facilitate learner engagement (as polls, chat, reactions, whiteboard, screen sharing) and learner collaboration (breakout rooms). Using these Zoom tools can assist you, the educator, in reducing the perceived distance between you and your learners and ensuring they are engaged and connected to their learning. 5 videos4 readings2 assignments Welcome to Week 5! As you have now discovered there is a range of Zoom tools that educators can use to create and deliver an engaging and interactive lesson. From a technological perspective, knowing how to use these tools is important however, the real skill is knowing how to strategically select and use tools that are appropriate for your learners and the purpose of the lesson. This week we will explore designing an online lesson plan using Zoom. 5 videos6 readings2 assignments

5 modules

Beginner level

16 hours to complete (3 weeks at 5 hours a week)

https://www.coursera.org/learn/using-zoom-to-connect-with-learners

Robotics: Computational Motion Planning

41,613

4.3

CJ Taylor

University of Pennsylvania

['Motion Planning', 'Automated Planning And Scheduling', 'A* Search Algorithm', 'Matlab']

Robotic systems typically include three components: a mechanism which is capable of exerting forces and torques on the environment, a perception system for sensing the world and a decision and control system which modulates the robot's behavior to achieve the desired ends. In this course we will consider the problem of how a robot decides what to do to achieve its goals. This problem is often referred to as Motion Planning and it has been formulated in various ways to model different situations. You will learn some of the most common approaches to addressing this problem including graph-based methods, randomized planners and artificial potential fields. Throughout the course, we will discuss the aspects of the problem that make planning challenging. Welcome to Week 1! In this module, we will introduce the problem of planning routes through grids where the robot can only take on discrete positions. We can model these situations as graphs where the nodes correspond to the grid locations and the edges to routes between adjacent grid cells. We present a few algorithms that can be used to plan paths between a start node and a goal node including the breadth first search or grassfire algorithm, Dijkstra’s algorithm and the A Star procedure. 5 videos5 readings2 assignments3 app items Welcome to Week 2! In this module, we begin by introducing the concept of configuration space which is a mathematical tool that we use to think about the set of positions that our robot can attain. We then discuss the notion of configuration space obstacles which are regions in configuration space that the robot cannot take on because of obstacles or other impediments. This formulation allows us to think about path planning problems in terms of constructing trajectories for a point through configuration space. We also describe a few approaches that can be used to discretize the continuous configuration space into graphs so that we can apply graph-based tools to solve our motion planning problems. 6 videos1 assignment2 app items Welcome to Week 3! In this module, we introduce the concept of sample-based path planning techniques. These involve sampling points randomly in the configuration space and then forging collision free edges between neighboring sample points to form a graph that captures the structure of the robots configuration space. We will talk about Probabilistic Road Maps and Randomly Exploring Rapid Trees (RRTs) and their application to motion planning problems. 3 videos1 assignment1 app item Welcome to Week 4, the last week of the course! Another approach to motion planning involves constructing artificial potential fields which are designed to attract the robot to the desired goal configuration and repel it from configuration space obstacles. The robot’s motion can then be guided by considering the gradient of this potential function. In this module we will illustrate these techniques in the context of a simple two dimensional configuration space. 4 videos1 reading1 assignment1 app item

4 modules

11 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/robotics-motion-planning

93%

Foundational Sustainability Skills & Competencies

Enrollment number not found

4.3

Christopher Boone

Arizona State University

['Sustainable Business', 'Communication', 'Sustainability', 'Project Planning']

The third course in this specialization takes the skills and knowledge learners have gained in the previous two courses and develops them into concrete skills that will serve the learner when they enter the field as a sustainability analyst. These skills include developing sustainability goals and initiatives, reporting and planning, maintaining document accuracy, and identifying partners for sustainability initiatives. This course focuses on the real-world application of all the skills the learners have gained in the previous two courses, using video, text, interactive, and peer-reviewed content and activities to support continued growth and learning. In this course, the topical knowledge presented is directly related to the practical skills learners will demonstrate since the content presented is about tasks crucial to a successful sustainability analyst. Interactive learning objects and peer-reviewed submissions provide opportunities for hands-on learning and collaboration with fellow learners. Knowledge checks ensure that learners clearly understand the skills and competencies needed in the field of sustainability. At the same time, the hands-on activities provide them with opportunities to practice those skills and competencies. Because this course is intended to be the final learning experience in the sequence, it supports learners as they prepare to enter the job market and seek sustainability roles. By presenting opportunities to practice developing reports, setting goals, and evaluating potential external partners, learners will be able to speak to those tasks in job interviews and complete the tasks successfully when they are hired into a role. The focus on practical application in this course supports learners’ confidence and development toward the position they seek. Welcome to the next course in your journey toward becoming a sustainability analyst! In this course, you will learn about the foundational competencies and skills you'll need to be a successful sustainability analyst. These competencies and skills include setting goals, creating implementation plans, establishing policies, reporting on sustainability activities, and working with vendors. 2 readings1 plugin How do you set meaningful and attainable goals for your organization? In this module, you'll learn more about setting goals and establishing a solid foundation before you start any sustainability project or initiative. 1 reading1 assignment1 peer review2 plugins After you've set your goals, how can you make them a reality? Engage with the materials in this module to learn about implementation plans and how to move towards your goals effectively and efficiently. 1 assignment1 plugin Your organization may ask you to go beyond specific goals and implementation plans to formulate an organization-wide vision for sustainability. In this module, you'll learn how to formulate a policy that suits your company and engages with the social and environmental pillars of sustainability. 1 assignment1 peer review4 plugins As a sustainability analyst, you'll be expected to report on your progress periodically. One of the most common types of reports is the annual report, which your organization will likely share widely. In this module, you'll learn how to craft an annual report that communicates your goals and achievements clearly. 1 peer review4 plugins Sometimes a sustainability project is too pricey for an organization to take on immediately. Performance-based contracts can provide an alternative to waiting for the right time in the budget to pursue projects like renewable energy and infrastructure initiatives. In this module, you'll learn how performance-based contracts work and how to identify the right partners to work with. 1 reading2 assignments2 peer reviews2 plugins

6 modules

Beginner level

10 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/sustainability-skills-and-competencies

Customer Centricity with Professor Jagdish Sheth Specialization

Enrollment number not found

4.8

Jagdish Sheth

Kennesaw State University

['Business', 'Marketing', 'Customer Success', 'Business Strategy', 'Customer Satisfaction']

This is a master class in Customer Centricity. Professor Jagdish Sheth, 2020 Padma Bhushan Award winner for Literature and Education, guides you through proven strategies and practical steps for implementing customer centricity practices into your business. Professor Sheth shares wisdom and insight from decades of experience, years of research, and recommendations from multiple senior industry leaders to help grow your business and cut costs by keeping the customers you have by creating a customer centric culture. Applied Learning Project Learners will learn how to grow their business and cut costs by keeping the customers they have by creating a customer centric culture. They will solve business problems posed by Professor Sheth in order to put what they have learned into real world scenarios. This course suggests why companies should be customer centric. Customer centricity provides a number of competitive advantages including revenue growth and cost reduction. The key concept is customer lifetime value (CLV) For example, a typical household spends more than $500,000 over 15 years at nearby grocery stores. Customer centricity is important, but most organizations struggle to implement it properly. This is due to internal operations, processes, and most importantly, cost accounting systems. Since the industrial age, the cost accounting focus has been very product centric, and there needs to be a shift customer centric accounting. This course, taught by Professor Jagdish Sheth, 2020 Padma Bhushan Award winner for Literature and Education, offers videos, articles, and recommendations from senior industry leaders on how to successfully implement customer centricity. With the digitization of information, most expertise is now available online with search engines such as Google. Therefore, experts for hire for certified occupations such as law, medicine, and accounting are likely to be automated and commodified. As a result, one has to transition from an expert for hire to a trusted advisor. This course, taught by Professor Jagdish Sheth, 2020 Padma Bhushan Award winner for Literature and Education, is based on interviews with more than 30 CEOs and chairmans of very large enterprises with the goal of identifying attributes of a trusted advisor. We highlight 7 specific attributes of great advisors including integrity, empathy, selfless independence, and big picture thinking. The best trusted advisors are those who have experienced adversity in their own lives. With growing age, income, and ethnic diversity, customer expectations are also becoming more diverse. Therefore, it is becoming difficult to satisfy all customers with growing but divergent expectations. This course, taught by Professor Jagdish Sheth, 2020 Padma Bhushan Award winner for Literature and Education, suggests shaping customer expectations is as, if not more, important than exceeding customer expectations. There are three strategies to manage customer expectations: abandon the customer, accommodate the customer, and adjust customer expectations. Since not all customers are profitable, one must link managing customer expectations with profitability outcomes. Many social issues are within the realm of public policy and civil organizations (NGOS), but corporations can also enable and champion social change. The business of business is more than business. As more and more companies engage in corporate social responsibility (CSR), they need to understand the ultimate users’ perceptions and motivations. This course, taught by Professor Jagdish Sheth, 2020 Padma Bhushan Award winner for Literature and Education, includes examples such as environmental sustainability, mindful consumption, and the United Nation’s Sustainable Development Goals (SDGs) Planned social change requires understanding customers’ predispositions and their actual behavior.

4 course series

Beginner level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/customercentricity