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0 | Analytical Solutions to Common Healthcare Problems | 5,710 | 4.6 | 27 | Brian Paciotti | University of California, Davis | [] | In this course, we’re going to go over analytical solutions to common healthcare problems. I will review these business problems and you’ll build out various data structures to organize your data. We’ll then explore ways to group data and categorize medical codes into analytical categories. You will then be able to extract, transform, and load data into data structures required for solving medical problems and be able to also harmonize data from multiple sources. Finally, you will create a data dictionary to communicate the source and value of data. Creating these artifacts of data processes is a key skill when working with healthcare data. In this module, you will explain why comparing healthcare providers with respect to quality can be beneficial, and what types of metrics and reporting mechanisms can drive quality improvement. You'll recognize the importance of making quality comparisons fairer with risk adjustment and be able to defend this methodology to healthcare providers by stating the importance of clinical and non-clinical adjustment variables, and the importance of high-quality data. You will distinguish the important conceptual steps of performing risk-adjustment; and be able to express the serious nature of medical errors within the US healthcare system, and communicate to stakeholders that reliable performance measures and associated interventions are available to help solve this tremendous problem. You will distinguish the traits that help categorize people into the small group of super-utilizers and summarize how this population can be identified and evaluated. You'll inform healthcare managers how healthcare fraud differs from other types of fraud by illustrating various schemes that fraudsters use to expropriate resources. You will discuss analytical methods that can be applied to healthcare data systems to identify potential fraud schemes. 8 videos1 reading1 assignment3 discussion prompts In this module, you will define clinical identification algorithms, identify how data are transformed by algorithm rules, and articulate why some data types are more or less reliable than others when constructing the algorithms. You will also review some quality measures that have NQF endorsement and that are commonly used among health care organizations. You will discuss how groupers can help you analyze a large sample of claims or clinical data. You'll access open source groupers online, and prepare an analytical plan to map codes to more general and usable diagnosis and procedure categories. You will also prepare an analytical plan to map codes to more general and usable analytical categories as well as prepare a value statement for various commercial groupers to inform analytic teams what benefits they can gain from these commercial tools in comparison to the licensing and implementation costs. 7 videos1 assignment1 discussion prompt In this module, you will describe logical processes used by database and statistical programmers to extract, transform, and load (ETL) data into data structures required for solving medical problems. You will also harmonize data from multiple sources and prepare integrated data files for analysis. 6 videos1 assignment1 discussion prompt In this module, you will describe to an analytical team how risk stratification can categorize patients who might have specific needs or problems. You'll list and explain the meaning of the steps when performing risk stratification. You will apply some analytical concepts such as groupers to large samples of Medicare data, also use the data dictionaries and codebooks to demonstrate why understanding the source and purpose of data is so critical. You will articulate what is meant by the general phase -- “Context matters when analyzing and interpreting healthcare data.” You will also communicate specific questions and ideas that will help you and others on your analytical team understand the meaning of your data. 7 videos1 reading1 assignment1 peer review2 discussion prompts | 4 modules | Intermediate level | 10 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/analytical-solutions-common-healthcare-problems | null |
1 | Understanding Einstein: The Special Theory of Relativity | 170,608 | 4.9 | 3,061 | Larry Randles Lagerstrom | Stanford University | [] | In this course we will seek to “understand Einstein,” especially focusing on the special theory of relativity that Albert Einstein, as a twenty-six year old patent clerk, introduced in his “miracle year” of 1905. Our goal will be to go behind the myth-making and beyond the popularized presentations of relativity in order to gain a deeper understanding of both Einstein the person and the concepts, predictions, and strange paradoxes of his theory. Some of the questions we will address include: How did Einstein come up with his ideas? What was the nature of his genius? What is the meaning of relativity? What’s “special” about the special theory of relativity? Why did the theory initially seem to be dead on arrival? What does it mean to say that time is the “fourth dimension”? Can time actually run more slowly for one person than another, and the size of things change depending on their velocity? Is time travel possible, and if so, how? Why can’t things travel faster than the speed of light? Is it possible to travel to the center of the galaxy and return in one lifetime? Is there any evidence that definitively confirms the theory, or is it mainly speculation? Why didn’t Einstein win the Nobel Prize for the theory of relativity? About the instructor: Dr. Larry Lagerstrom is the Director of Academic Programs at Stanford University’s Center for Professional Development, which offers graduate certificates in subjects such as artificial intelligence, cyber security, data mining, nanotechnology, innovation, and management science. He holds degrees in physics, mathematics, and the history of science, has published a book and a TED Ed video on "Young Einstein: From the Doxerl Affair to the Miracle Year," and has had over 30,000 students worldwide enroll in his online course on the special theory of relativity (this course!). Week 1: Introduction to the Course, and Einstein in Context 9 videos8 readings4 assignments Week 2: Events, Clocks, and Reference Frames 11 videos12 readings9 assignments Week 3: Ethereal Problems and Solutions 12 videos15 readings6 assignments Week 4: The Weirdness Begins 14 videos15 readings9 assignments Week 5: Spacetime Switches 17 videos16 readings10 assignments Week 6: Breaking the Spacetime Speed Limit 11 videos11 readings8 assignments Week 7: Paradoxes to Ponder 11 videos12 readings5 assignments Week 8: To the Center of the Galaxy and Back 9 videos10 readings7 assignments | 8 modules | Beginner level | null | https://www.coursera.org/learn/einstein-relativity | 98% |
2 | JavaScript for Beginners Specialization | 37,762 | 4.7 | 772 | William Mead | University of California, Davis | ['web interactivty', 'Jquery', 'Data Manipulation', 'JavaScript', 'web interactivty', 'Jquery', 'Data Manipulation', 'JavaScript'] | This Specialization is intended for the learner with no previous programming experience or the career changer transitioning to software development. JavaScript is generally the first programming language you will need to learn and this Specialization will help you practice and build your skills through a gentle progression of modules and courses. Applied Learning Project Learners will be able to follow along with the instructor and be able to apply and practice their learning through a series of low-stakes challenges and projects. Quizzes are the main assessment for this Specialization, along with Honor options in a couple of the courses. Working with a Code Editor, Intro of Selection Control Structures, How to Create Loops, and Understanding Core Programming Structures. Introduces learners to the popular jQuery library and explores the syntactical differences between JavaScript and jQuery using small projects. This course is the third in our JavaScript for Beginners Specialization. The scripts will become more complex and introduce more complex jQuery plugins. You will have several challenges to practice your skills throughout the course. The course objectives include how to identify objects in JavaScript; create new objects and populate them with data; manipulate objects by adding, modifying and deleting data in objects; manipulate the DOM based on the data in objects; identify and articulate how multiple functions work together to create a more complex program; and identify processes for breaking larger programs into smaller, more manageable pieces. This course builds on the skills from the previous course and goes further into managing and manipulating data with JavaScript. You will learn methods for validating and handling data provided by users or coming from an external data source. This course includes a challenge in the form of a seat reservation system, as well as a project that pulls data in from an external data source. The course objectives include validation basics in JavaScript and jQuery; jQuery form validation plugin features; arrow functions; asynchronous functions; and the JavaScript event loop. | 4 course series | Beginner level | 2 months (at 10 hours a week) | https://www.coursera.org/specializations/javascript-beginner | null |
3 | Security, Compliance, and Governance for AI Solutions | Enrollment number not found | Rating not found | 2,024 | AWS Instructor | Amazon Web Services | [] | This course helps you understand some common issues of around security, compliance, and governance associated with artificial intelligence (AI) solutions. You will learn how to recognize governance and compliance requirements for AI systems. You will also learn about various Amazon Web Services (AWS) services and features that will help you apply governance controls and achieve your compliance objectives. Finally, you will be introduced to AWS services that can help you secure your AI systems. 1 reading1 assignment | 1 module | Beginner level | 1 hour to complete | https://www.coursera.org/learn/security-compliance-and-governance-for-ai-solutions | null |
4 | Understanding Fitness Programming | Enrollment number not found | Rating not found | null | Casey DeJong | National Academy of Sports Medicine | ['Cardiovascular training', 'Resistance training', 'Core training', 'Fitness programming', 'Flexibility training'] | In this course, you will learn to identify appropriate exercises to meet each client's specific needs and objectives. This involves understanding a client’s current fitness level, any limitations or health concerns, and their desired outcomes. By selecting the right exercises, you can help clients achieve their goals safely and effectively. It is also important to be able to identify appropriate exercise modifications for specific client requirements. This may involve adjusting the intensity, duration, or type of exercise to accommodate the client's needs. By making these modifications, you can help clients continue to progress toward their goals while minimizing the risk of injury. It is also essential to be able to coach and cue clients through exercises they have never performed before. This involves providing clear and concise instructions, demonstrating proper form and technique, and providing feedback and encouragement to help clients perform the exercises correctly and safely. By the end of the course, you will be able to:
• Identify appropriate exercises to meet client needs.
• Identify appropriate exercise modifications for specific client requirements.
• Build safe and effective exercise programs.
• Coach and cue clients through exercises they have never performed before. Cardiorespiratory fitness is arguably the most important component of physical fitness, is the best indicator of overall health, and is necessary to sustain the energy requirements of everyday life. Effective cardiorespiratory fitness levels help maintain recommended body weight. Upon completion of this week’s lessons, the aspiring fitness professional will be able to: 6 videos9 readings6 assignments2 plugins Flexibility training addresses the growing postural imbalances caused by sedentary lifestyles, enhancing overall musculoskeletal health. Essential for fitness professionals, flexibility training reduces low back pain, joint pain, and overuse injuries. Flexibility, defined as the normal extensibility of all soft tissue allowing full joint range of motion, is optimized through dynamic range of motion, integrating flexibility and neuromuscular control. Effective flexibility training involves various techniques, such as self-myofascial release and static and dynamic stretching, each contributing to improved neuromuscular efficiency and overall physical function. Understanding the benefits and appropriate application of these techniques is crucial for designing comprehensive fitness programs. Upon completion of this week’s lessons, the aspiring fitness professional will be able to: 6 videos8 readings6 assignments3 plugins Core training is a vital component of fitness that goes beyond strengthening the abdominals to enhance overall body function. It plays a critical role in improving posture, performance, and resistance to injury by engaging a variety of muscles in and around the trunk region. The core, which includes the pelvis, lower back, and associated muscles, is the body’s balance point and the origin of all movement. A well-structured core training program targets both the movement and stabilization systems, ensuring optimal joint function and dynamic stability. Understanding and implementing core training principles is essential for fitness professionals to help clients achieve better physical performance and prevent injuries. Upon completion of this week’s lessons, the aspiring fitness professional will be able to: 2 videos8 readings6 assignments5 plugins Resistance training is a fundamental component of fitness programs, crucial for helping clients achieve their performance and health goals. Effective resistance training programs are built on key principles such as adaptation, specificity, and periodization, which ensure progressive overload and proper recovery to maximize benefits and prevent injuries. Understanding these principles enables fitness professionals to design customized, efficient resistance training programs that cater to individual needs and enhance overall physical performance. This comprehensive approach helps maintain high exercise adherence and reduces the risk of injury, ultimately leading to better fitness outcomes for clients. Upon completion of this week’s lessons, the aspiring fitness professional will be able to: 5 videos10 readings7 assignments3 plugins The final quiz is designed to assess you understanding and mastery of the key concepts covered throughout the course. It will include questions from all the major topics discussed in Weeks 1 to 4, ensuring that you have a solid grasp of the principles and practices of exercise programming.
The final peer-reviewed assignment assesses your practical skills in comparing aerobic and anaerobic exercises, designing personalized workout plans, and applying theoretical knowledge to real-world scenarios. This assignment will provide hands-on experience tailoring fitness programs to individual needs, a crucial skill for personal fitness trainers. By completing it, you will demonstrate your ability to differentiate between aerobic and anaerobic exercises, use the FITTE-VP principle, and implement stage training principles to design a comprehensive cardiorespiratory training program. 1 assignment1 peer review | 5 modules | Beginner level | 27 hours to complete (3 weeks at 9 hours a week) | https://www.coursera.org/learn/understanding-fitness-programming | null |
5 | Educating Deaf Children: Becoming an Empowered Teacher | 16,749 | 4.9 | 382 | Odette Swift | University of Cape Town | ['Deaf culture and community', 'language-rich environment', 'empowered teacher', 'accommodations and modifications'] | Many Deaf children around the world still leave school functionally illiterate. In some cases, there is no allowance made for the education of Deaf children at all. This 4-week course provides you with invaluable knowledge and skills about teaching Deaf children. You will learn about the importance of Deaf culture and community, the need for a language-rich environment for the Deaf child from as young as possible, and that having access to sign language can help Deaf children academically, emotionally, and socially. We also cover various accommodations and modifications that you can apply in your classroom and learning environment to create an accessible learning experience for Deaf children. You will also find that a shift in attitude will enable you to connect with Deaf children with more understanding. This course does not teach sign language since each country has its own sign language. We hope that through this course you become an empowered teacher - for yourself, for your fellow teachers, and most importantly, for the Deaf children in your classroom.
You will be able to purchase a Verified Certificate if you wish to show evidence of your achievements, but this is optional, and you may apply for Financial Aid if you are unable to pay the certificate fee. Welcome to the first week of the course! In this week, you will be finding out about the experience of being Deaf from school children who participated in the TEDI research project as well as from three Deaf guest presenters. Being Deaf impacts learning and it is important to start the course with this awareness. The assessment in this week is a graded quiz at the end of the week. You will also have an opportunity to share some of your thoughts and reflections in the discussion forum. As a reminder, this course does not teach sign language since each country has its own sign language. We hope you enjoy the first week of the course! 9 videos6 readings2 assignments2 discussion prompts The second week in this course focuses on knowledge about the Deaf child's communication, emotional, and social development. This type of knowledge is crucial for teachers working with Deaf children, as it can inform teaching practices and greatly contribute to becoming an empowered teacher. In this week, you will hear from various experts, such as a counselor, an occupational therapist, and an audiologist, who will share their knowledge and experiences regarding Deaf children's development. At the end of this week there is a graded quiz and an opportunity for reflection through discussion. This week also includes an optional Honors lesson with a written assignment that will be reviewed by your peers. 11 videos2 readings2 assignments1 peer review1 discussion prompt Welcome to the third week of the course! In this week, we will look at creating classroom and learning experiences that are accessible to Deaf children. We know that every child has a right to quality education and in the previous two weeks you have learnt about the barriers to learning that Deaf children face and how excluded they often are from education. The content we bring to you in this week will show you how you can ensure that Deaf children are able to access learning by making your classroom, teaching methods, and assessments accessible. This week includes a graded quiz at the end of the week. You will also have an opportunity to share your reflections and experiences with your peers in the discussion forum at the end of the week. 9 videos2 readings3 assignments1 discussion prompt Welcome to the last week of the course! Your journey to becoming an empowered teacher is ending. We hope that you have learnt valuable new practices in the previous three weeks. In this last week, the guest presenters discuss some internal and external aspects that you as teachers of Deaf children can focus on that can help you become a stronger and more effective teacher. These aspects include taking care of yourself, building support around you, working with teaching assistants, and collaborating with parents. By the end of the week, you will have completed your journey to becoming an empowered teacher and you will have an opportunity to reflect on the knowledge that you have gained through a written assignment that will be reviewed by your peers. You will also be able to share some reflections and final thoughts with your peers in the discussion forum at the end of the week. 9 videos2 readings1 peer review1 discussion prompt | 4 modules | Beginner level | null | https://www.coursera.org/learn/educating-deaf-children | 99% |
6 | Scandinavian Film and Television | 24,338 | 4.7 | 592 | Eva Novrup Redvall | University of Copenhagen | [] | In many ways Scandinavian film and television is a global cultural brand, connected with and exporting some of the cultural and social values connected to a liberal and progressive welfare society. This course deals with the social, institutional and cultural background of film and television in Scandinavia and in a broader European and global context. This module consists of two lessons. The first lesson offers an introduction to main trends in the contemporary Scandinavian film and television culture, focusing – among other things – on how the national film and television cultures relate to ideas of the welfare state. The module also addresses the international impact of film and television from Scandinavia. The second lesson deals with the early years of cinema in Scandinavia and the work of the Danish director Carl Th. Dreyer, from a silent film classic such as 'The Passion of Joan of Arc' to the sound film era. 6 videos2 readings2 assignments3 discussion prompts 'The Seventh Seal', 'Persona' and 'Cries and Whispers' are just some of the famous films by the acclaimed Swedish director Ingmar Bergman. The third lesson focuses on issues of influences, themes and style in his films as well as on Bergman's importance for the modern art cinema. The fourth lesson deals with the internationally renowned ideas and films by the Danish director Lars von Trier: 'The Europa-trilogy'; The TV series 'Riget'/'The Kingdom'; 'Breaking the Waves'; 'Dancer in the Dark' and 'Dogville'; The Dogma 95 Manifesto; 'Antichrist', 'Melancholia' and 'Nymphomaniac' ... 6 videos2 readings2 assignments3 discussion prompts Many people have heard of the French new wave cinema, 'la nouvelle vague'. The fifth lesson deals with the main tendencies of the Scandinavian new wave cinema and some of its 'auteurs'. The sixth lesson focuses on different tendencies in the Scandinavian art film and social drama after 1990, ranging from award-winning heritage films to harsh stories from the contemporary Scandinavian welfare societies. 6 videos2 readings2 assignments Scandinavian cinema has a long history of strong documentary film making. The seventh lesson moves from the early documentary filmmakers to the contemporary – global and digital – scene for Scandinavian documentaries. Television drama is important for the Scandinavian public service broadcasters, but the notions of good television drama have changed remarkably from the early days of television up until today. In the eighth lesson we focus on the main tendencies in these developments from 1960 to 2000. 6 videos2 readings2 assignments With 'Nordic Noir' such as 'Wallander' and 'Forbrydelsen/The Killing' becoming a 'brand' in the 2010s, some 'Scandi crime' series were suddenly of interest to international as well as national audiences. The ninth lesson focuses on Scandinavian television drama after the millennium and addresses some of the changes in the production framework that helped the series move from the national to the international realm. The tenth and final lesson discusses how to understand the contemporary Scandinavian film and television culture in a global and digital era. What might the transnational future bring?
(Please be advised that these lectures were filmed in 2014. Much has happened since then. We have put links about more recent developments in the resources.) 6 videos8 readings2 assignments | 5 modules | Beginner level | null | https://www.coursera.org/learn/scandinavian-movies-tv | 97% |
7 | Foundations of Music Promotion & Branding | Enrollment number not found | Rating not found | null | Joey Harris | GRAMMY GO | ['Personal Branding', 'Social Media', 'Promotion (Marketing)', 'strategy', 'Customer analysis', 'Media Strategy and planning', 'Marketing', 'Digital Marketing', 'Promotion', 'Promotional Strategies', 'Branding'] | Welcome to "Foundations of Music Promotion & Branding," the foundational pillar of the "Building Your Audience for Music Professionals" Specialization. Spanning over four detailed modules, this course is your first step toward mastering the art of music promotion and establishing a resonant brand within the industry. What You Will Learn:
- Brand Identity Creation: Learn to articulate your artistic identity, ensuring -your music resonates with your desired audience and stands out in a crowded marketplace.
- Visual Branding Mastery: The skills to design captivating visuals that reflect your brand's essence, making your music and image impossible to scroll past.
- Audience Insights: Techniques for conducting deep audience research, enabling you to tailor your music and branding to effectively engage and grow your fanbase.
Final Project: Your journey culminates in creating a personalized branding blueprint and an authentic brand identity statement, equipping you with a solid foundation to build upon as you progress through the specialization.
Who Should Enroll: This course is specially designed for emerging music artists, aspiring managers, producers, promoters, and industry professionals who recognize the power of a strong brand in building a sustainable music career. Whether you're launching a new project or seeking to refine your existing brand, this course provides the foundational knowledge and practical tools to achieve your branding and promotional objectives. This week covers brand authenticity and identity, and guides you through genuine self-expression, brand curation and audience connection.
In Lesson 1, "Exemplary Brand Identities," you will explore the role of brand identity in building dedicated followings and crafting cohesive images across platforms. Lesson 2, "Crafting an Authentic Brand Identity" focuses on forging deep audience connections through genuine self-conception.
At the end of the module, you will distill your core values into brand identity statements to create an authentic personal brand. 9 videos7 readings2 assignments1 peer review1 discussion prompt2 plugins This week you'll begin crafting an authentic brand identity.
Through lectures, hands-on activities and expert insights, you will explore strategies for brand development; explore the role of visual elements like logos, colors and fonts; and learn to create and maintain a powerful mood board.
Then, you’ll uncover the significance of feedback and use it to refine your brand. This will prepare you to develop a comprehensive plan to elevate your brand with peer feedback, focus groups, coaching, and collaborations. 6 videos3 readings1 assignment1 peer review1 discussion prompt This week, you’ll learn about the critical process of audience research and its profound impact on brand strategies.
Discussions encompass the significance of collecting relevant data, methods for accurate data acquisition, and the analytical potential of demographic factors. You’ll participate in hands-on activities, honing your skills to determine research parameters and gather audience data.
At the end of the module, you will craft an audience analysis report and develop a precise audience persona, providing a roadmap for informed and effective branding strategies based on a deep understanding of your target audience. 2 videos3 readings1 assignment1 peer review This week guides you in setting goals, defining key audience growth elements, and recognizing significant milestones in brand and audience development. Discussions cover how to source valuable feedback and refine work based on insights.
For the final project, you will reflect on your personal growth and achievements to create an artistic visual representation of your journey. 5 videos1 reading1 assignment1 peer review | 4 modules | Beginner level | 8 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/foundations-of-music-promotion-branding | null |
8 | Photovoltaic Systems | 11,731 | 4.6 | 147 | Rasmus Nielsen | Technical University of Denmark (DTU) | ['Renewable Energy', 'Photovoltaics', 'PV system design', 'The Solar Resource', 'Energy Yield Simulations'] | This course offers you advanced knowledge within the field of photovoltaic system technology. We'll learn about the solar resource and how photovoltaic energy conversion is used to produce electric power. From this fundamental starting point we'll cover the design and fabrication of different solar cell and module technologies, the various photovoltaic system components, how to design a photovoltaic plant and carry out energy yield simulations, essentials in energy economics, O&M and reliability assessment, as well as the role of photovoltaic energy in sustainable energy systems. This course is unique in that it takes you from the nanoscale physics of a solar cell to the modelling of a utility scale solar farm. The course is made up of 9 sections with an estimated workload of 2-3 hours each. The academic level is targeted at master students at technical universities and engineers from the energy industry. Passing this course offers you a great basis for a career in the field of photovoltaics. These lectures serve as an introduction to the field of photovoltaics in general, which includes the most basic terminology, an overview of the history of PV as well as the industrial deployment of the technology. 4 videos1 assignment These lectures cover the physics of the solar resource as well as various irradiance models to calculate the optimal tilt angle necessary for maximizing PV power production. 5 videos1 assignment1 plugin These lectures cover the physics necessary for understanding the working principles of solar cells, as well as an introduction to electrical characterization and modelling of photovoltaic devices. 8 videos3 assignments These lectures cover the principles of cell interconnection and properties of various module components necessary for designing and fabricating photovoltaic modules. Optional content is provided dealing with the environmental variables impacting the performance of PV modules in the field. 8 videos3 assignments1 plugin 13 videos4 assignments | 5 modules | Intermediate level | 11 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/photovoltaic-systems | null |
9 | SEL for Students: A Path to Social Emotional Well-Being | 9,498 | 4.8 | 294 | Dan Liston | University of Colorado Boulder | [] | Social and emotional learning, or SEL, programs have flourished in schools during the last decade. In this course the instructor (Emily Price) introduces you to the history and framings of social and emotional learning preK-12 curricula, as well as various elementary, middle, and high school SEL programs and associated research. This course is a part of the 5-course Specialization “The Teacher and Social Emotional Learning (SEL)”. Interested in earning 3 university credits from the University of Colorado-Boulder for this specialization? If so check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first module of this course for additional information.
We want to note that the courses in this Specialization were designed with a three-credit university course load in mind. As a participant you may notice a bit more reading content and a little less video/lecture content. Completing and passing the SEL Specialization allows the participant to apply for 3 graduate credits toward teacher re-certification and professional enhancement. We want to ensure the quality and high standards of a University of Colorado learning experience.
Interested in earning 3 graduate credits from the University of Colorado-Boulder for The Teacher and Social Emotional Learning (SEL) Specialization? Check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first week of this course for more information. This course focuses on SEL for its most common audience – students in P-12 school-based contexts. We begin this exploration by introducing the concept of social emotional well-being in Week 1. We explore what social emotional well-being is and investigate the relationship between it and the current emphasis on achievement in educational reform. Then, we highlight SEL as one means of developing social emotional well-being, positioning it in relation to other approaches, while highlighting our course’s focus on SEL programs and theories. 5 videos2 readings1 assignment1 discussion prompt In this section of the course, we trace the origins of the field of SEL, identifying how a perceived need for greater attention to children’s social and emotional development in schools grew in part from the popularization of theories of multiple intelligence and emotional intelligence in the mid to late 1990s. We identify other educational theories that support this work before attending to a discussion of what SEL is, identified primarily through its goals, purposes, and aims. 4 videos2 readings1 assignment1 discussion prompt In this section of the course, we attend to the ways in which school-based SEL programs differ with regard to scope, focus, audience and mode of infusion. Additionally, we take up general considerations of the characteristics of effective programs and practices with the intent of providing participants the tools necessary to evaluate specific SEL programs. 3 videos1 reading1 assignment1 discussion prompt The focus in this section of the course is on SEL programs in early childhood education and in elementary schools. We aim to provide a broad overview of programs on the market, and considerations specific to “doing SEL” with young children. Additionally, we aim to challenge participants to evaluate the usefulness of various programs for their own purposes with respect to the criteria and considerations identified in Week 3. 2 videos2 readings1 assignment1 discussion prompt The focus in this section of the course is on SEL programs in middle and high school contexts. We aim to provide a broad overview of programs on the market, considerations specific to “doing SEL” with older students, and an exploration of why SEL is particularly important at this stage in development. Additionally, we will highlight YPAR as one means of critically attending to principles of SEL as a preview of the focus of Course B. Finally, we aim to challenge participants to evaluate the usefulness of various programs for their own purposes with respect to the criteria and considerations identified in Week 2. 3 videos2 readings1 assignment1 discussion prompt | 5 modules | Advanced level | null | https://www.coursera.org/learn/sel-for-students | 98% |
10 | Inclusive Leadership: The Power of Workplace Diversity | 59,458 | 4.9 | 1,760 | Brenda J. Allen | University of Colorado System | ['Diversity (Business)', 'self-awareness', 'Communication', 'Emotional Intelligence', 'inclusive leadership'] | Do you want to promote diversity and inclusion? This course will empower and equip you to develop inclusive cultures where everyone feels valued and respected. You will learn how highly inclusive leaders from around the world use processes of social influence to interact effectively with individuals from a wide variety of backgrounds. You will deepen your understanding of the benefits of diversity. And, you will explore a wealth of perspectives and practices to help you to reap those benefits. This course is for current or aspiring leaders in ANY type of workplace, in ANY leadership role - a CEO of a corporation, a head of a department, a manager of a workgroup, a team leader, a chair of a committee, you name it!
Course highlights include studying signature traits of inclusive leadership (based on global research), strengthening self-awareness, developing your communication skills, and improving your ability to help others feel a strong sense of belonging. Course content covers traditional and timely topics -- from listening, feedback, and collaboration, to privilege, implicit bias, microaggressions, and micro-affirmations.
The instructor for this course is nationally recognized educator, leader, and public speaker, Dr. Brenda J. Allen (Communication Professor Emerita). Dr. Allen is a retired Chief Diversity Officer who offers highly-rated workshops, consultations, and presentations on topics such as inclusive leadership, racial equity, strategic planning, respect in the workplace, and diversity recruitment/retention practices. She has a proven ability for explaining complex and sensitive topics in non-threatening ways. She clearly explains concepts and offers compelling real-life examples - including her own experiences. This module provides perspectives on inclusion. We will explore the meanings of inclusion and why inclusion is important for promoting workplace diversity. The lessons will provide a foundation for becoming a highly inclusive leader. The first lesson defines inclusion. The second and third lessons describe and give examples of four factors of inclusion (belonging, uniqueness, equity, and non-discrimination). The fourth lesson discusses diversity in the workplace. It also explains how organizations benefit from inclusion. And it clarifies the relationship between inclusion and diversity. The module concludes with a Spotlight on The Workplace (Lesson 5). The Resources section of our course has: 1. A glossary of key concepts from this module 2. A Next Steps list to help you apply what you've learned in each module 3. An Inclusive Leadership Self-Assessment, and other materials to enhance your learning. Please check the Resources section regularly because I will periodically add and update materials. 6 videos12 readings3 assignments2 discussion prompts In this module, you will learn perspectives on inclusive leadership. The first lesson reviews traditional theories of leadership and offers the definition of leadership that we will use in our course. The second lesson explains how we define inclusive leadership. The next two lessons delve into self-awareness, a crucial aspect of inclusive leadership. The module concludes with a lesson on the benefits of inclusive leadership and a Spotlight on Privilege. Please note that the Resources section of our course has a glossary of key concepts from this module. The Resources section of our course has: 1. a glossary of key concepts from this module, and 2. a Next Steps list to help you apply what you've learned in this module, and a variety of other materials to enhance your learning. Please check the Resources section regularly because I will be adding and updating materials. 9 videos18 readings4 assignments2 discussion prompts In this module, we will explore six signature traits of inclusive leadership. Researchers Bernadette Dillon and Juliet Bourke conducted a large-scale international project to study how leaders around the world were responding to changes related to inclusion. They identified six signature traits of highly inclusive leaders. The first lesson provides an overview of the six traits. The next lessons offer an overview of each trait and explain how inclusive leaders enact those traits. The module concludes with a Spotlight on Implicit Bias. The Resources section includes: 1. a glossary of key concepts from this module, and 2. a Next Steps list to help you apply what you've learned in this module. Please check the Resources section regularly because I will often add and update materials. 10 videos19 readings2 assignments2 discussion prompts In this module, we’ll explore a variety of communication practices related to the six signature traits of inclusive leaders. Communication refers to the wide variety of ways that humans share meaning with one another, including communicating with oneself! Each lesson in this module provides information and ideas for how to communicate inclusively - how to show others that they are valued and respected. First, we will explore a few communication topics that are especially relevant to members of non-dominant groups in the workplace. Then, we'll delve into intrapersonal communication, listening, microaggressions, micro-affirmations, feedback, and inclusive meetings. The module concludes with a Spotlight on Power. The Resources section of our course has: 1. a glossary of key concepts from this module, 2. a Next Steps list to help you apply what you learned in this module, and 3. a reading entitled, Power Matters. 10 videos20 readings3 assignments2 discussion prompts | 4 modules | Beginner level | null | https://www.coursera.org/learn/inclusiveleadership | 99% |
11 | Averaged-Switch Modeling and Simulation | 8,754 | 4.7 | 79 | Dr. Dragan Maksimovic | University of Colorado Boulder | [] | This course can also be taken for academic credit as ECEA 5705, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course #1 in the Modeling and Control of Power Electronics course sequence. The course is focused on practical design-oriented modeling and control of pulse-width modulated switched mode power converters using analytical and simulation tools in time and frequency domains. A design-oriented analysis technique known as the Middlebrook's feedback theorem is introduced and applied to analysis and design of voltage regulators and other feedback circuits. Furthermore, it is shown how circuit averaging and averaged-switch modeling techniques lead to converter averaged models suitable for hand analysis, computer-aided analysis, and simulations of converters. After completion of this course, the student will be able to practice design of high-performance control loops around switched-mode power converters using analytical and simulation techniques.
We strongly recommend students complete the CU Boulder Power Electronics specialization before enrolling in this course (course numbers provided for students in CU Boulder's MS-EE program):
● Introduction to Power Electronics (ECEA 5700)
● Converter Circuits (ECEA 5701)
● Converter Control (ECEA 5702)
After completing this course, you will be able to:
● Explain operation and modeling of switched-mode power converters
● Model open-loop transfer functions and frequency responses
● Design closed-loop regulated switched-mode power converters
● Verify operation of switched-mode power converters by simulations
● Understand the Feedback Theorem principles
● Apply the Feedback Theorem to practical design examples
● Derive averaged switch models of and averaged circuit models of power converters
● Apply averaged-switch modeling techniques to analysis and design and simulations of power converters Review of modeling, control and simulation of switched-mode power converters 12 videos5 readings5 quizzes1 discussion prompt Understand and apply Feedback Theorem in the analysis and design of power electronics 10 videos4 quizzes Model and design switched-mode power converters using averaged switch modeling and averaged circuit simulations 12 videos1 reading5 quizzes | 3 modules | Intermediate level | null | https://www.coursera.org/learn/averagedswitchmodelingandsimulation | null |
12 | Problem Solving Using Computational Thinking | 86,624 | 4.6 | 1,241 | Chris Quintana | University of Michigan | ['Computer Programming', 'Computational Thinking'] | Have you ever heard that computers "think"? Believe it or not, computers really do not think. Instead, they do exactly what we tell them to do. Programming is, "telling the computer what to do and how to do it." Before you can think about programming a computer, you need to work out exactly what it is you want to tell the computer to do. Thinking through problems this way is Computational Thinking. Computational Thinking allows us to take complex problems, understand what the problem is, and develop solutions. We can present these solutions in a way that both computers and people can understand.
The course includes an introduction to computational thinking and a broad definition of each concept, a series of real-world cases that illustrate how computational thinking can be used to solve complex problems, and a student project that asks you to apply what they are learning about Computational Thinking in a real-world situation. This project will be completed in stages (and milestones) and will also include a final disaster response plan you'll share with other learners like you.
This course is designed for anyone who is just beginning programming, is thinking about programming or simply wants to understand a new way of thinking about problems critically. No prior programming is needed. The examples in this course may feel particularly relevant to a High School audience and were designed to be understandable by anyone.
You will learn:
-To define Computational Thinking components including abstraction, problem identification, decomposition, pattern recognition, algorithms, and evaluating solutions
-To recognize Computational Thinking concepts in practice through a series of real-world case examples
-To develop solutions through the application of Computational Thinking concepts to real world problems 3 videos5 readings2 assignments1 discussion prompt 6 videos3 readings3 assignments2 discussion prompts 6 videos5 readings2 assignments2 discussion prompts 3 videos2 readings2 assignments 8 readings1 peer review | 5 modules | Beginner level | null | https://www.coursera.org/learn/compthinking | 97% |
13 | Oralpha: Literacy for new citizens, a course for trainers | Enrollment number not found | Rating not found | null | Silvia Carrasco | Universitat Autònoma de Barcelona | [] | You are interested in welcoming processes of migrants and refugees? You want to dedicate yourself to teaching lamguage and literacy? The objective of this course is to get to know the simultaneous process of literacy and language learning in the host society for migrated young people and adults. The linguistic integration is key for integration in the society. This course offers insight into international migration today and the real linguistic needs of migrated people in the countries of arrival. Furthermore, throughout the course you can learn about teaching methods and tools in language learning and literacy. The focus is on oral competencies, and processes starting from the students’ needs and difficulties them and the teaching staff are facing, implementing hands on experience and providing practical solutions supporting your class. The aim of this course is to learn about international migration and the experiences of immigrants in the receiving societies, as well as to train trainers to guide them in simultaneous processes of language and literacy learning, as an essential need for social integration in the host society. 1 video7 readings This module provides a general overview of international migration and social integration in 21st century Europe and the essential role of languages in it. Topics covered:<br>1. HUMAN MIGRATION AND MOBILITY:<br> a) Migration flows, regions and types.<br> b) Rights, regulations and migrants’ profiles.<br> c) Super-diversity, cities and refugees in Europe.<br>2. BORDERS AND LANGUAGES:<br> a) Reception systems for newly arrived migrants and asylum seekers and language provisions.<br> b) Immigrants’ experiences, interactions and language learning.<br>3. UNDERSTANDING SOCIAL INTEGRATION:<br> a) Integration models alongside history, with a particular focus on the intercultural approach.<br> b) Intersectionality, belonging and bordering . 4 videos5 readings1 assignment This module aims at providing a general overview of the students’ and teachers’ profile. Topics covered:<br>1. EXPECTATIONS AND NEEDS from students in relation to integration (i.e. staying or leaving the country; working; studying) and language. <br>2. PLURILINGUAL COMPETENCE (which are the students’ communicative practices? Which languages they already use? In which contexts? To reflect on key concepts to describe communicative competence of migrant and refugee students (Plurilingualism, translanguaging, superdiversity…)<br>3. STUDENTS’ BARRIERS to access language and education rights beyond classroom methodology. For example: enough number of courses; gender-related lack of ”awareness”/discrimination, system knowledge barriers; legal status; gaps in the educational system; policies to discourage to remain, mobility issues, linguistic diversity lack of awareness (e.g. the role of literacy in mother tongue). <br>4. TEACHERS’ PROFILES: expectations, working conditions, ideologies, training, expertise… in relation to ORALPHA methodology and NEEDS of training. <br>5. TEACHING COMPETENCIES: (i.e. adaptation skills, how to overcome stereotypes; gender issues; to value previous language 7 videos4 readings1 assignment This module aims at providing a general overview of the theoretical basis that is beyond L2 literacy classes. Topics covered:<br>1. L2 THEORY on second languages teaching and the specificities of low educational background students.<br>2. LITERACY THEORY, main theories of literacy teaching and the specificities of L2 teaching to people with a mother tongue that differs from the host language.<br>3. WAYS OF LEARNING, illiterate people ways of learning and ways to develop reading and writing skills. <br>4. ORAL SKILLS the importance of oral skills development in the L2 literacy class; specifics mechanisms to promote the orality in L2 literacy lessons<br>5. GROUP DYNAMICS, the importance of emotions and socialization in L2 literacy class; specifics mechanisms to promote group cohesion, motivation, self confidence, etc. In L2 literacy lessons. <br>6. INTERCULTURAL COMPETENCES L2, the importance of introducing intercultural approach (students, teachers and materials). 10 videos4 readings1 assignment | 4 modules | Beginner level | 8 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/oralpha-literacy-for-new-citizens-for-trainers | null |
14 | Strategies for Cloud Security Risk Management | 2,116 | 4.6 | 23 | Google Cloud Training | Google Cloud | ['Understanding compliance standards', 'Implementing security controls', 'Risk management frameworks', 'Audit preparation', 'Framework interpretation'] | Ready for more?! This is the second course of the Google Cloud Cybersecurity Certificate. Crack the code of security and compliance! ️ This course is your decoder ring to unlock the world of security domains, frameworks, and data privacy. Discover the secret language of risk, controls, and the trio of compliance: people, process, and tech! In this module, you’ll dive into the essential concepts of security domains, compliance frameworks, data privacy fundamentals, risk and security controls. You'll discover the key differences between security and compliance, and learn about controls and frameworks within the three pivotal areas of compliance: people, process, and technology. Explore risk and security controls in depth, giving you a clear view of how these controls are effectively implemented. 13 videos10 readings5 assignments Get ready to level up your risk management game! In this module, you'll crack the code on popular frameworks like NIST CSF, SOC 2, FedRAMP, HIPAA, and ISO 27001. You'll compare and contrast these frameworks like superheroes in a face-off, so you can pick the perfect one for any situation. Plus, you'll learn how to use them to build your own fortress of security, keeping your data safe and sound. So, buckle up and get ready for an epic adventure in risk management proficiency. 9 videos7 readings5 assignments In this module, you'll unlock the secrets of the compliance lifecycle. Imagine it as a labyrinth of rules and regulations – you'll learn how to map your path through controls, dodge the pitfalls of non-compliance, and perform audits like a seasoned adventurer. Discover how Policy-as-Code (PaC) can weave powerful safeguards directly into your Infrastructure-as-Code (IaC), transforming it into a self-defending fortress. 12 videos9 readings7 assignments Prepare for a thrilling expedition into the cloud! In this module, you'll skillfully wield the powers of Google's Security Command Center, Risk Manager, and Policy Analyzer – your trusty toolbox for conquering compliance challenges. Discover how these tools, combined with cloud security posture management (CSPM), form your ultimate defense system. You'll chart a course through the landscapes of CIS, NIST, ISO, and MITRE, learning to use their wisdom as your compass for risk management and security excellence. 12 videos10 readings6 assignments1 app item | 4 modules | Beginner level | 18 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/strategies-for-cloud-security-risk-management | null |
15 | Access Controls | 9,209 | 4.7 | 314 | ISC2 Education & Training | ISC2 | [] | Welcome to Access Controls! The Access Controls Course provides information pertaining to specify what users are permitted to do, the resources they are allowed to access, and what operations they are able to perform on a system. Access Controls help managers limit and monitor systems use at a user level or group membership. You will understand the different access control systems and how they should be implemented to protect the system and data using the different levels of confidentiality, integrity, and availability.
The Access Controls course provides information pertaining to specifying what users are permitted to do, the resources they are allowed to access, and what operations they are able to perform on a system. Access Controls help managers limit and monitor systems use at a user level, and is usually predefined based on authority level or group membership. You will understand the different access control systems and how they should be implemented to protect the system and data using the different levels of confidentiality, integrity, and availability.
Objectives
1. Describe how to implement Authentication mechanisms
2. Identify and operate internetwork trust architectures
3. Describe the process of administering identity management life cycle
4. Implement the different types of access controls (Subject/Object based) Module Topics: Single Factor/Multifactor Authentication, Biometrics. In Single Factor/ Multifactor Authentication, you will learn about identity, methods, registration of new users, periodic review of access levels, clearance, authentication, knowledge, password reset, mass lockouts, ownership, and characteristics.
In Biometrics, you will learn about biometrics, behavioral biometrics, physiological biometrics, biometric implementation issues, biometric accuracy, physiological use as identification, next-generation identification (NGI) database, department of defense (DoD) electronic biometric transmission specification (EBTS), and biometric standards development. 12 videos11 readings1 assignment1 discussion prompt Module Topics: Tokens, Single Sign-On, Offline and Device Authentication.
In Tokens, you will learn about uses of token information, time-synchronized one-time passwords, mathematical-algorithm based one time passwords, physical types, disconnected tokens, connected tokens, contactless tokens, bluetooth and mobile device tokens, smart cards, types of smart card technology, smart card applications, multifactor authentication, two-factor vs. three-factor authentication, dual control, continuous authentication, periodic authentication, time outs, reverse authentication, certificate-based authentication, authorization, access to systems vs. data, network, access control lists/matrix, and directories.
In Single Sign-On, you will learn about SSO risks, SSO implementation: kerberos, Kerberos applications, Kerberos process, Kerberos considerations, Kerberos tools, Klist purge, Server 2012/(R2) and Windows 8/8.1 features, and network ports used during Kerberos authentication.
In Offline and Device Authentication, you will learn about types of authentication. 11 videos11 readings1 assignment Module Topics: Comparing Internetwork Architectures, One-way Trust, Two-way Trust, and Transitive Trust. In Comparing Internetwork Architectures, you will learn about typical DMZ design, trust path. In Trust, you will learn about one-way trust, two-way trust, and transitive trust. 4 videos4 readings1 assignment Module Topics: Identity Management, Authorization, Proofing, Provisioning, Maintenance, and Entitlement.
In Identity management, you will learn about identity management cycle. You will also learn about, authorization, proofing, provisioning, and maintenance.
In Entitlement, you will learn about entities, entitlement defined. 3 videos3 readings1 assignment Module Topics: Mandatory Access Control (MAC), Non-Discretionary Access Control, Discretionary Access Control (DAC), Role-Based Access Control (RBAC), Content Dependent, Context-Based, Temporal Isolation (Time Based), Attribute-Based, Separation of Duties, Security Architecture and Models.
You will learn about Mandatory Access Control (MAC), and Non-Discretionary Access Control,
In Discretionary Access Control (DAC), you will learn about Rule Set-Based Access Controls (RSBAC), RSBAC GFAC logic for data access request.
In Role -Based Access Control (RBAC), you will learn about role hierarchies, constrained user interface (CUI), types of restricted interfaces, view-based access control (VBAC), and VBAC examples. You will also learn about Content-Dependent Access Control (CDAC), and Temperoal isolation (Time-Based) Access Control.
In Attribute-based Access Control (ABAC), you will learn about key terms.
In Security Architecture and Models, you will learn about Bell-LaPadula confidentiality Model, Biba integrity model, BLP and Biba model comparison, Clark-Wilson integrity model, and additional models, 9 videos9 readings1 assignment This assignment is based on a case study that will require the student to put into practice the knowledge they have gained through the course. It requires the basic understanding of the topics and the ability to relate those topics to the real world. The objective of review is to determine whether the student has understood the concepts and has performed the necessary analysis to ensure a complete and thorough answer. 1 peer review 1 reading1 assignment | 7 modules | Beginner level | null | https://www.coursera.org/learn/access-control-sscp | 96% |
16 | Intel® Solutions Pro – Principles of AI Everywhere | Enrollment number not found | Rating not found | null | Jennifer James | Intel | ['AI Deployments', 'AI Everywhere', 'Xeon Processors', 'Edge Computing', 'AI Capabilities'] | AI is transforming how we work and live every day, and it is evolving rapidly. Intel is delivering a full spectrum of hardware and software platforms, offering open and modular solutions to expedite time-to-value in this era of exponential growth. Intel integrates AI seamlessly across its hardware and software technologies, supporting generative AI workloads and driving innovations like AI PC and AI at the edge. In this curriculum, you'll delve into Deep Learning, Machine Learning, and Generative AI, and learn to navigate AI challenges using industry models tailored to data parameters. Learn how to offer solutions from Intel's diverse portfolio, including CPU, GPUs, accelerators, technologies, software, and toolkits, for ease of AI solution deployments.e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming. What does AI Everywhere mean? What product should I consider for what applications or AI development stage? Learn all this and get sales guidance around AI from client to edge and cloud. 1 reading1 assignment1 plugin Contrary to popular belief, Nvidia GPUs are not the ONLY viable AI solution in the data center. Intel delivers outstanding solutions ranging from Intel® Xeon® CPUs to GPUs (GPU MAX and GPU FLEX) to Intel® Gaudi® 2 AI accelerators. This module highlights how Intel solves business challenges with AI and offers compelling alternatives to Nvidia 1 reading1 assignment1 plugin It is of huge importance for Intel to establish that AI runs on PCs. Intel® Core™ processors and Intel® ARC™ GPUs enable many inference use cases on client systems. This module will educate you on the AI applications and how Intel Core CPUs with neural processing unit (NPU), and Intel ARC GPUs enable these use cases. 1 assignment1 plugin AI is enabling business transformations everywhere across the network and edge. Vision, language, and other use cases deploy AI across the edge--across a broad array of locations--in manufacturing, smart cities, transportation, and networking. Learn about the tools and enablement for edge deployments in this module. 1 reading1 assignment1 plugin Intel® Xeon® processors can be a great fit for AI, from ML/DL applications and even Generative AI. Note that while inference is a certain target AI use case we can also sell into retraining and fine tuning with Intel Xeon processors. 1 assignment1 plugin This module will provide a foundational overview of Intel® Gaudi® AI accelerators, ensuring that everyone can grasp the core concepts including MLPerf results. 2 readings1 assignment1 plugin The matrix multiplication acceleration provided by Intel® Advanced Matrix Extensions (Intel® AMX) in Intel® Xeon® CPU Max makes it an exceptional value for AI. Pairing that acceleration with the increased memory bandwidth of the Intel® Xeon® CPU Max provides even better performance on many workloads and can greatly speed up workflows where AI is used to augment HPC as well as in LLM Inference. This submodule will provide a summary of the technical characteristics, their benefits, and performance results to show how customers and users can make use of these technologies to solve their problems within the Intel® Xeon® CPU ecosystem they already know and love. 1 reading1 assignment1 plugin Understand how Intel® Data Center GPU Max Series is a viable solution for your growing demand for AI and general-purpose workloads. In this course you will learn the basics of the technology, its software and framework readiness, and examples of where to use it effectively. 2 readings1 assignment1 plugin Understand how Intel® Data Center GPU Flex Series is a viable solution for your growing demand for AI and general-purpose workloads. In this course, you will learn the basics of the technology, its software and framework readiness, and examples of where to use it effectively. 1 reading1 assignment1 plugin oneAPI AI ToolKit, IPEX, OpenVINO™ - Learn the basics of positioning Intel AI Software 1 reading1 assignment1 plugin ChatGPT and other massive models represent an amazing step forward in AI that is moving at light speed. This course will survey how the AI ecosystem has worked non-stop to take these all-purpose multi-task models and optimize them so they can be used by organizations to address domain-specific problems. Learn how Intel can help you become a trusted thought leader who can demystify this topic for your partners and customers. 2 readings1 assignment1 plugin A lot of AI preparation, development, prototyping, and increasingly, deployment is happening on workstations. Workstations liberate the AI developer and data scientist from negotiating server time while also providing the increased memory capacity and cores to handle larger AI datasets that would cripple a consumer PC or laptop. With an AI Workstation from Intel, organizations benefit from a robust platform for AI experimentation, thus avoiding expensive production costs. Finally, with the growth of Generative AI and Small Language Models (SLMs), the AI Workstation from Intel offers a compelling solution for enterprises to maximize their AI investments. By using industry-specific and proprietary data with SLMs in a workstation, enterprises can achieve multiple objectives: efficiency, accuracy, customization, and security. 2 readings1 assignment1 plugin AI is the defining workload of our time, and organizations are racing to adopt AI into their businesses and services. At the same time, governments around the world are passing new regulations to help ensure AI evolves in a way that is secure, trustworthy, and respectful of individual privacy. Confidential AI is a method to protect the data and model while it is actively in use, helping organizations stay compliant with regulations and protect their IP. 1 reading1 assignment1 plugin Congratulations you are complete. 1 reading | 14 modules | Intermediate level | 8 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/intel-solutions-pro-principles-ai-everywhere | null |
17 | Nuclear fuel management: a practical approach Specialization | Enrollment number not found | 4.9 | 12 | Juan Luis François Lacouture | Universidad Nacional Autónoma de México | [] | The specialized program is divided into three MOOCs: Front-end of the nuclear fuel cycle, Back-end of the nuclear fuel cycle, and In-core fuel management. The student will navigate the Integrated Nuclear Fuel Cycle Information System, of the International Atomic Energy Agency, to learn about the nuclear fuel cycle facilities around the world, uranium deposits, including their classification, technical information, detailed geological information on regions, districts, and deposits; and the thorium database, which includes details of thorium deposits and resources in the world. In addition, the student will develop skills to estimate the requirements for materials and services associated with the stages of the nuclear fuel cycle, to perform basic calculations for nuclear fuel and reactor core design, as well as to calculate the levelized nuclear fuel cycle cost. Applied Learning Project Based on case studies, one for each of the three MOOCs, assessment tests and practical assignments, the student will discover and understand the different stages of the nuclear fuel cycle, as well as the fundamentals of in-core fuel management. After completing MOOC 1, the student will be able to calculate the masses of materials associated with each stage of the front-end. After completing MOOC 2, the student will be able to calculate the composition, the decay heat, and the radiotoxicity of the spent fuel. After completing MOOC 3, the student will be able to estimate the fuel batch reload fraction and its enrichment for an equilibrium cycle, to perform basic calculations for nuclear fuel and reactor core design, and to calculate the levelized cost of the open (once-through) nuclear fuel cycle. You will be will be able to recognize and describe the basic principles of the different steps of the front end of the fuel cycle, will be capable to find updated information and knowledge about the subject of study and will have the skills to perform basic calculations of the front end of the nuclear fuel cycle. After completing this MOOC, the student will be able to recognize and describe the basic principles of the different steps of the back end of the fuel cycle, will be capable to find updated information and knowledge about the subject of study and will have the skills to perform basic calculations of the back end of the nuclear fuel cycle. Upon completion of this MOOC, students will gain comprehensive knowledge in nuclear fuel management and reactor core design. They will learn to list and understand the basic parameters involved in in-core fuel management, including the estimation of fuel batch reload fraction and enrichment for equilibrium cycles using the linear reactivity method. The course will also cover the core aspects of reactor core design, the stages of fuel reloads design, and the principles of nuclear fuel assembly design, including the role of burnable poisons. Students will delve into the various aspects of fuel assembly design, both radial and axial, and learn to identify and solve optimization problems in these areas using metaheuristic techniques. Additionally, they will explore core loading pattern design, control rod pattern design, and the associated requirements and knowledge rules. Another significant aspect of the course is the application of metaheuristic optimization approaches to tackle complex design problems in nuclear fuel management. Students will learn to interpret and apply these techniques to optimize radial fuel lattice design, axial fuel assembly design, and core loading pattern design. | 3 course series | Intermediate level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/nuclear-fuel | null |
18 | How to Create and Explore a Data Set | Enrollment number not found | Rating not found | null | Mike Stadler, PhD | American Psychological Association | ['Frequency Distribution', 'Jamovi', 'Data Set Analysis', 'Statistical Software', 'Graphing'] | This course provides a comprehensive introduction to data analysis, focusing on the understanding and interpretation of data sets. Students will learn to describe data sets, characterize variables, create and interpret graphs, and identify and interpret frequency distributions using jamovi. The course also emphasizes the critical evaluation of data presentation, teaching students to discern the appropriate use and potential misuse of graphs. This module introduces you to your PsycLearn Essentials course. Find out what’s included in this course and how to navigate the modules and lessons. You’ll also learn valuable study tips for successful learning. 2 videos8 readings This module provides a variety of information and tools from the American Psychological Association (APA) that will help inspire you as you complete your coursework and plan your career goals. Get discounted access to Academic Writer, APA’s online tool for writing effectively, as well as valuable advice that will help you develop and strengthen your skillset for learning success and future employment. Additionally, explore resources on various psychological issues. This module also includes APA resources on scholarly research and writing; a list of sites providing valuable resources on diversity, equity, and inclusion in psychology education and in the professional community; resources on a career in psychology; and links to career opportunities at the APA. You can also view videos that offer tips on dealing with stress. 8 readings Once data have been collected, we must confront the question, “How do we summarize these data clearly and efficiently?” Graphs can help answer this question. We will explore the use and misuse of graphs, along with applications of the most common types of graphs. 1 video1 reading There is much talk around the world about big data and analytics. Imagine the amount of data that big companies have stored up by recording every interaction with a customer. What did the customer search for? What did the customer purchase? How much does a given customer spend in an average order, or over the course of a year? The data must be organized and structured in very particular ways or it would be worthless. The same is true of observations in psychological science, or any science. The observations must be collected and stored in an organized way so that they may be useful for later analysis. This module introduces basic concepts about how data sets are organized and inspected. 4 videos4 readings6 assignments This module explores the general nature of graphical representations of data and their usefulness, and then specifically explores the use of frequency distributions for different types of data. 2 videos4 readings3 assignments In this module, we explore the use of bar graphs and histograms to describe a data set. We also introduce the jamovi statistical analysis software program, which we then use to create bar graphs and histograms. 7 videos2 readings3 assignments 2 readings1 assignment | 7 modules | Beginner level | 3 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/data-sets | null |
19 | Fundamentals of Data Analytics in the Public Sector with R | 7,052 | 4.7 | 32 | Christopher Brooks | University of Michigan | ['Piblic Administration', 'Data Analysis', 'R basics', 'Tydiverse', 'Custom R functions'] | Gain a foundational understanding of key terms and concepts in public administration and public policy while learning foundational programming techniques using the R programming language. You will learn how to execute functions to load, select, filter, mutate, and summarize data frames using the tidyverse libraries with an emphasis on the dplyr package. By the end of the course, you will create custom functions and apply them to population data which is commonly found in public sector analytics. Throughout the course, you will work with authentic public datasets, and all programming can be completed in RStudio on the Coursera platform without additional software.
This is the first of four courses within the Data Analytics in the Public Sector with R Specialization. The series is ideal for current or early career professionals working in the public sector looking to gain skills in analyzing public data effectively. It is also ideal for current data analytics professionals or students looking to enter the public sector. Welcome to the Data Analytics in the Public Sector with R and the First Course—Fundamentals of Public Sector Data Analysis with R. This week will be your orientation to the certificate and the first course. You will also get to learn several fundamental terms and their definitions that we will frequently use throughout the course and the certificate. 5 videos7 readings1 assignment1 discussion prompt1 ungraded lab Welcome to Week 2! You will start this week learning about the core functions of public administration and the role of data analytics in these functions. You will also start developing your skills with RStudio. 13 videos3 readings2 assignments1 discussion prompt Welcome to Week 3! You will learn this week several analysis skills for survey data—one of the most common types of data in the public sector. These skills will allow you to not only understand how survey data could be designed and collected, but also how to analyze such data in RStudio and how to interpret them. 14 videos2 readings4 assignments Welcome to Week 4! You will learn this week several analysis skills for population data—one of the most common types of data in the public sector that allow answering basic population questions. These skills will allow you to not only understand the sources of population data, but also how to analyze such data in RStudio and how to interpret them. 7 videos1 reading4 assignments Welcome to Week 5, the last week in this course! This week, you will get to hear stories from public sector data analysts, with the goal of recognizing the challenges associated with the profession of a data analyst. 4 videos1 reading1 assignment2 discussion prompts | 5 modules | Intermediate level | 14 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/fundamentals-of-data-analytics-in-the-public-sector-with-r | null |
20 | English and Academic Preparation - Pre-Collegiate | 148,692 | 4.7 | 450 | Alice Llanos | Rice University | ['academic reading', 'oral presentations', 'Academic Writing', 'note-taking', 'listening'] | The English and Academic Preparation - Pre-Collegiate non-credit course is for students with a (minimum) high-intermediate level of English. This certificate course is designed to help domestic and international students develop the academic skills necessary for success in undergraduate studies at an American university while strengthening their English proficiency. Ideally, prospective students have completed or are near completion of a high school diploma in their country and would like to come to the United States to study for a bachelor’s degree.
The total length of time required to complete the course is approximately 4 weeks. Students should expect to spend about 5-7 hours per week working with the materials and assignments.
The course is made up of 4 modules:
• Listening, Speaking, and Critical Thinking
• Writer’s Workshop
• Reading and Note-taking
• Capstone Project
Each module consists of video lessons, opportunities for practicing English and academic skills, interactive discussion boards with classmates, and graded activities. All courses are asynchronous, which means that the lessons and their activities can be completed at any time of day or night, provided that all course assignments are completed by the final day of class. In this module, we will learn some skills necessary for listening to and speaking about academic topics at the undergraduate level. 5 videos7 readings6 assignments1 peer review1 discussion prompt In this module, we will learn some skills necessary for academic writing at the undergraduate level. 4 videos7 readings7 assignments1 peer review In this module, we will learn some skills necessary for reading and taking notes about academic texts and at the undergraduate level. 4 videos8 readings8 assignments1 peer review The Pre-Collegiate application project is the final module of the English and Academic Preparation Program. In this module, you will not learn new information as you did in the previous modules, but rather apply the knowledge and skills you learned from the other modules in this academic certificate in order to complete a series of four tasks. 1 reading2 peer reviews | 4 modules | Beginner level | null | https://www.coursera.org/learn/glasscock | 98% |
21 | Electronic Music Performance Techniques | 7,681 | 4.2 | 29 | Rishabh Rajan | Berklee | ['Music Arrangement', 'Music', 'Electronic Digital Instrument', 'Performance Technique', 'Live Looping'] | From the Moog analog synthesizers in the 1960s to the contemporary usage of computers, performance controllers, and mobile devices, Electronic Digital Instruments (EDIs) have long been capable of offering artists a new range of musical expression. In this one-of-a-kind course, you’ll learn the essential skills you need to perform on an EDI. Your instructor is EDI musician and Berklee College of Music associate professor Rishabh Rajan.
He will take you through the basics of EDI performance and give you pointers on how to build an arrangement on your EDI. Whether you have just ordered your first pad-controller or have already been experimenting with electronic music, you’ll learn the basics of performing and arranging on the EDI. You will start by building drum beats and reading drum notation. Then you will create bass lines and harmonic accompaniment. Finally, you will learn how to live loop all of these elements and perform an arrangement for a live audience. 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. 3 videos6 readings1 assignment In this first lesson, we will practice several basic drum patterns as well as look at how to create more complex drum tracks for your original songs. We will also discuss how you can program a song into your EDI to discover new ideas. Finally, we will learn how to live loop drum patterns using Ableton Live. 6 videos2 assignments1 discussion prompt In this second lesson, we will look at how to play harmonic accompaniment on the EDI. We will play through several basic chord progressions and learn to play extended chords such as 7th's and 9th's. Finally, we will practice recording and looping harmonic parts. 6 videos1 reading2 assignments1 discussion prompt Now that we have learned some basics on the EDI, it is time to start building a composition. In this lesson we will discuss how to develop an interesting bass line as well as how to improvise melodies using the Minor Blues Scale. By the end of the lesson, you will be able to create your own bass line for your original composition and practice improvising melodies on top of it. 4 videos2 assignments1 discussion prompt In this lesson we will put together everything we have learned so far to create an arrangement to perform in front of an audience. We will discuss how to create our own sounds on Ableton and we will practice creating arrangements that build and entertain our audience. By the end of this lesson, you will be able to perform your own arrangement. 6 videos1 reading1 assignment1 peer review | 5 modules | Intermediate level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/edi-performance-techniques | null |
22 | AR (Augmented Reality) & Video Streaming Services Emerging Technologies | 12,434 | 4.7 | 114 | Jong-Moon Chung | Yonsei University | [] | Welcome to the course “Augmented Reality & Video Service Emerging Technologies.” The level of AR (Augmented Reality) and advanced video & multimedia technology included in a product is what determines the level of value and luxury. The objective of this course is to teach all important technologies that are used in state-of-the-art AR, Skype, and YouTube video and multimedia products and services. This includes the advanced video and real-time multimedia delivery mechanisms based on H.264/MPEG-4 AVC, MPEG-DASH, CDN, and mobile CDN. If you have knowledge of these core technologies, you can understand the operations that are used in every advanced video and multimedia system in the World. As the future World of business and products are driven to be more and more video and multimedia oriented, having knowledge of these core technologies will enable you to lead your company to become the true World leader in AR and video multimedia technology products, services, and business. Thus, I cordially welcome you into the beautiful and powerful World of advanced AR and video multimedia! The first module “AR Applications, Products & Business” focuses on the variety of AR (Augmented Reality) applications, technologies, products, and businesses. The lecture starts with the definitions and characteristics of AR and explains the differences of AR and VR (Virtual Reality). Then the advantages of various AR UI (User Interface) types, which include handheld AR displays (e.g., smartphones), AR eyeglasses, and HMDs (Head-Mounted Displays) are covered. In addition, AR business models and an analysis of the AR market, which includes the AR/VR headset market share, Worldwide AR/VR headset forecast, AR/VR market size by segment, and AR/VR market size forecasts are described. 6 videos2 assignments The second module “AR Technology” focuses on AR (Augmented Reality) technologies, operation workflow, and Cloud support technologies. First, the features of AR technological components, and the role of AR feature detection/description technology and the IPD (Interest Point Detection) process is introduced. Second the advantages of AR cloud cooperative computation and AR cloud offloading is covered. In addition, the types of AR feature extraction descriptor types, feature detector requirements, and influencing factors are covered. 5 videos2 assignments The third module “SIFT SURF FAST BRIEF ORB BRISK” focuses on all of the core feature extraction technologies used in AR (Augmented Reality), which include SIFT, SURF, FAST, BRIEF, ORB, and BRISK. As feature extraction is the most important (and computation burdening and time consuming) procedure of the AR process, the variety of technologies applied in state-of-the-art AR devices are studied in detail in this module. The lectures cover the characteristics of the AR IPD (Interest Point Detection), feature detection, and description schemes, which include SIFT (Scale Invariant Feature Transform), SURF (Speed-Up Robust Feature), FAST (Features from Accelerated Segment Test), BRIEF (Binary Robust Independent Elementary Features), ORB (Oriented FAST and Rotated BRIEF), and BRISK (Binary Robust Invariant Scalable Keypoints). 7 videos2 assignments The fourth module “Skype, YouTube & H.264/MPEG-4 AVC” focuses on the two most famous video service types that exist in the World. Skype is the most widely used video conferencing and VoIP (Voice over IP) application service in the World, which is now included in various Microsoft products, making video and voice communications possible from practically anywhere an Internet connection is available. YouTube is the World’s most widely used video service application service. The lectures cover the history of Skype and YouTube and also the evolution of their video and audio codec technologies. In addition, the lecture covers the details of the state-of-the-art H.264/MPEG-4 AVC video media technology that is currently used by Skype and YouTube. 4 videos2 assignments The fifth module “Video Streaming & MPEG-DASH” focuses on advanced video streaming techniques and details on MPEG-DASH (Moving Picture Experts Group - Dynamic Adaptive Streaming over HTTP) technology. First, the differences in Push vs. Pull based media streaming is covered along with the operation process of Pull based adaptive media streaming. Second, the types of video frames along with the structure of the fragmented MP4 file and GOP (Group of Pictures) are studied. Third, HTTP (Hypertext Transfer Protocol) versions 1.0~2 and the DASH scheme is explained followed by examples of the YouTube MPEG-DASH progressive downloading process. Fourth, the standardization of ISO/IEC 23009-1 based MPEG-DASH specifications and the operation process of MPEG-DASH MDP (Multimedia Presentation Description) hierarchical data and MPD decoding & playing methods are covered. 6 videos2 assignments The sixth module “CDN Video Streaming Technology” focuses on the necessity and operations of advanced video service CDN (Content Delivery Network) technologies. First, the CDN structure and the operation process of CDN hierarchical content delivery is covered. Second, the CDN market value, market size, service providers, and the role of the Telcos, CDN providers, operators, and market regions are studied. Third, details on CDN cooperative caching and content routing, Query based scheme, Digest based scheme, Directory based scheme, Hashing based scheme, and the Semi-hashing based scheme are covered. Fourth, content aging and updating operations along with CDN popularity prediction and contents update techniques (with operational examples of the LRU (Least Recently Used) and LFU (Least Frequently Used) strategies) are covered in the lectures. In addition, the differences in CDN vs. Mobile CDN technology are discussed. 5 videos2 assignments The seventh module “AR Smartphone Project” focuses on two AR smartphone projects using the IKEA Catalog and Google Translate applications. First the operation features of the IKEA Catalog and Google Translate AR applications are studies in the project. Second the limitations of the operation process of these AR applications are tested to recognize how the brightness levels, shined light angles, shape and size of the area and object, distance, font and texture types, and language translations types can influence the accuracy of the AR operations. 2 videos1 peer review | 7 modules | Beginner level | 10 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/ar-technologies-video-streaming | null |
23 | Build and Operate Machine Learning Solutions with Azure | 8,197 | 3.8 | 57 | Microsoft | Microsoft | ['Modeling', 'Microsoft Azure', 'Data Security', 'Machine Learning'] | Azure Machine Learning is a cloud platform for training, deploying, managing, and monitoring machine learning models. In this course, you will learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions. This is the third course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam.
The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at a cloud-scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam.
This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. It teaches data scientists how to create end-to-end solutions in Microsoft Azure. Students will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions, and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. Azure Machine Learning provides a cloud-based platform for training, deploying, and managing machine learning models. In this module, you will learn how to provision an Azure Machine Learning workspace. You will use tools and interfaces to work with Azure Machine Learning and run code-based experiments in an Azure Machine Learning workspace. finally, you will learn how to use Azure Machine Learning to train a model and register it in a workspace. 8 videos9 readings4 quizzes2 assignments1 discussion prompt Data is the foundation of machine learning. In this module, you will learn how to work with datastores and datasets in Azure Machine Learning, enabling you to build scalable, cloud-based model training solutions. You'll also learn how to use cloud compute in Azure Machine Learning to run training experiments at scale. 8 videos9 readings1 quiz4 assignments Orchestrating machine learning training with pipelines is a key element of DevOps for machine learning. In this module, you'll learn how to create, publish, and run pipelines to train models in Azure Machine Learning. You'll also learn how to register and deploy ML models with the Azure Machine Learning service. 7 videos10 readings3 quizzes2 assignments Machine learning models are often used to generate predictions from large numbers of observations in a batch process. You will accomplish this using Azure Machine Learning to publish a batch inference pipeline. You will also leverage cloud-scale experiments to choose optimal hyperparameter values for model training. 6 videos6 readings4 quizzes1 assignment In this module, you will learn how to use automated machine learning in Azure Machine Learning to find the best model for your data. You will learn how differential privacy is a leading edge approach that enables useful analysis while protecting individually identifiable data values. You will also learn about the factors that influence the predictions models make. 13 videos8 readings7 assignments Machine learning models can often encapsulate unintentional bias that results in unfairness. In this module, you will learn how to use Fairlearn and Azure Machine Learning to detect and mitigate unfairness in your models. You will learn how to use telemetry to understand how a machine learning model is being used once it has been deployed into production. Finally, you will learn how to monitor data drift to ensure your model continues to predict accurately. 13 videos8 readings7 assignments1 discussion prompt | 6 modules | Intermediate level | 31 hours to complete (3 weeks at 10 hours a week) | https://www.coursera.org/learn/build-and-operate-machine-learning-solutions-with-azure | null |
24 | Introduction to Sustainability | 157,160 | 4.8 | 2,587 | Dr. Jonathan Tomkin | University of Illinois Urbana-Champaign | [] | This course introduces the academic approach of Sustainability and explores how today’s human societies can endure in the face of global change, ecosystem degradation and resource limitations. The course focuses on key knowledge areas of sustainability theory and practice, including population, ecosystems, global change, energy, agriculture, water, environmental economics and policy, ethics, and cultural history. This subject is of vital importance, seeking as it does to uncover the principles of the long-term welfare of all the peoples of the planet. As sustainability is a cross-disciplinary field of study, this foundation requires intellectual breadth: as I describe it in the class text, understanding our motivations requires the humanities, measuring the challenges of sustainability requires knowledge of the sciences (both natural and social), and building solutions requires technical insight into systems (such as provided by engineering, planning, and management). In this module, you will become familiar with the course, your classmates, and the learning environment. The orientation also helps you obtain the technical skills required for the course. In the introduction, we will examine some of the central ideas that underpin the Earth as a system, and their consequences for environmental sustainability. 5 videos5 readings3 assignments1 plugin In this module, we will see how human populations have evolved over time and get a sense of where the next century of change will take us. 5 videos1 reading4 assignments In this module, we will see that the Earth faces many environmental pressures that result from human exploitation of natural resources. We will also look at the issue of climate change. 8 videos1 reading4 assignments1 peer review In this module, we will look at energy use. We will also consider what the trend of energy use means for the planet, and how we might transition to a more sustainable pattern of use. 8 videos1 reading4 assignments In this module, we will explore the connection between water and food, and see what will be required to feed the planet over the course of the century. 6 videos1 reading3 assignments In this module, we will examine some of the common tools used by policy-makers, and some of the forces that shape (or misshape) policy. 9 videos1 reading3 assignments1 peer review In this module, we will examine what tools are available to measure sustainability. Finally, I will make some predictions on global sustainability for the 21st century, based on the models we have spoken about in this course and the trends that have been observed in the early part of this century. 7 videos1 reading3 assignments1 peer review Welcome to the end of the course! This module has a final, comprehensive quiz that covers all of the topics that we’ve seen in the previous seven modules. You’ll want to be familiar with the goals and objectives, key phrases, concepts, and guiding questions from the earlier modules to do well on this final quiz. 1 reading1 assignment1 plugin | 8 modules | null | 24 hours to complete (3 weeks at 8 hours a week) | https://www.coursera.org/learn/sustainability | 96% |
25 | Cloud Deployment and Scaling with ASP.NET Core | Enrollment number not found | Rating not found | null | EDUCBA | EDUCBA | ['Cloud Computing', 'Web Application', 'Deploying Asp .Net', 'Security Considerations in Cloud Deployment'] | Embark on a transformative journey into the dynamic landscape of cloud computing with our specialized course on deploying and scaling ASP.NET Core applications. In today's technology-driven world, the efficient deployment and scaling of applications in the cloud are indispensable skills. This module, designed with precision, delves into cloud deployment and scaling strategies, offering a tailored approach specifically for ASP.NET Core applications. Learning Outcomes: Mastery of Cloud Deployment, Scalability Expertise, and Cloud Power Unleashed.
By the end of this immersive learning experience, you'll gain proficiency in seamlessly deploying and scaling ASP.NET Core applications in cloud environments through a curriculum enriched with practical examples. You'll unlock the ability to harness the full potential of the cloud, ensuring your applications achieve optimal performance, scalability, and availability.
We recommend a foundational understanding of ASP.NET Core and familiarity with basic cloud computing concepts. While prior knowledge of C# is advantageous, it is not mandatory. This course is designed to accommodate you with varying levels of expertise, making it accessible to a broad audience.
This course positions you for roles such as Cloud Application Developer, where you'll specialize in deploying and optimizing ASP.NET Core applications. Alternatively, you can pursue opportunities as a Cloud Solutions Architect, shaping resilient cloud architectures. DevOps Engineer roles also become accessible, empowering you to streamline deployment pipelines and ensure efficient, automated deployment in diverse cloud ecosystems.
Elevate your skill set and career prospects by enrolling in this course — where the fusion of theory and hands-on practice propels you into the forefront of cloud deployment for ASP.NET Core applications. This module provides a concise yet comprehensive introduction to cloud computing. You will describe fundamental cloud computing concepts and differentiate key characteristics, laying a solid foundation. Moving forward, you will identify and compare significant cloud providers, enabling you to make informed decisions. You will recognize the distinctive services offered by providers such as Azure, AWS, and Google Cloud, empowering you to align your cloud strategy with organizational needs. This module ensures a holistic understanding of cloud computing essentials, essential for professionals seeking to navigate the dynamic landscape of cloud services. 4 videos5 readings3 assignments1 discussion prompt This module equips you with essential skills for cloud infrastructure management. You'll interpret the intricacies of configuring cloud infrastructure, creating virtual machine networks, and establishing storage and databases. Moving forward, you will understand the deployment process for web applications in the cloud, evaluate deployment options, and gain practical experience deploying ASP.NET Core applications. The module explains proficiency in monitoring and scaling cloud resources, implementing auto-scaling, load balancing, and formulating backup and disaster recovery strategies. You will emerge well-prepared to navigate the complexities of cloud infrastructure and optimize application deployment in dynamic cloud environments. 10 videos6 readings4 assignments1 discussion prompt This module guides you through the fundamentals of scaling, emphasizing its significance and exploring strategies for scaling web applications. You will delve into load balancing, understand its benefits, and gain hands-on experience configuring load balancers in cloud environments. The module concludes by predicting concepts of auto-scaling and elasticity, empowering you to configure policies and triggers for auto-scaling. A practical scenario allows you to apply elasticity to web applications, ensuring you acquire the skills to optimize resources dynamically in cloud environments. 8 videos4 readings4 assignments1 discussion prompt This module explores the critical elements of system reliability, emphasizing the importance of high availability (HA) and investigating strategies to achieve it. You will delve into the functions of redundancy and load balancing. The module then shifts focus to planning a comprehensive approach to backup and recovery, including the establishment of automated backup strategies and the execution of data recovery processes. Lastly, you will prepare for an understanding of system failures and outages, implementing strategies for failover and redundancy to ensure seamless operations even in challenging scenarios. 4 videos6 readings4 assignments1 discussion prompt | 4 modules | Intermediate level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/cloud-deployment-and-scaling-with-asp-net-core | null |
26 | Integrated and Strategic Communication Campaigns | 1,948 | 4.7 | 23 | Erin Willis | University of Colorado Boulder | ['Strategic Management', 'Marketing Communications', 'Public Relations', 'Advertising Campaign', 'Business Strategy'] | Welcome to "Integrated and Strategic Communication Campaigns", the first course of the specialization, Strategic Communication Campaigns. Ever wanted to "get the word out" or create "buzz" for your organization? This course will leave you knowing how to deliver the right message to the right audience at the right time via the right channel.
You will get started by understanding the best practices for communication campaigns and learning the basics around how to tell the story that represents your brand well. You will then be able to take that story to the right channels so that it gets told internally and externally from an organizational point of view. In the final week, you will take a closer look at communication campaigns from other brands to understand how paid, earned, shared, and owned media are used.
By the end of this course, you will have encountered multiple examples and strategies for strategic communication campaigns that will have you feeling more confident about creating one on your own! Welcome to the course, "Integrated and Strategic Communication Campaigns"! To set your self up well for any future campaign, you will want to start with planning it first. In this first week, you will do the same. After learning the basics about planning, you will be introduced to the PESO model, which strategically leverages communication so as to "get the word out" and create "buzz" for your organization. Then, you will learn how to glean insight from research by segmenting audiences and begin to think about how to use persuasive communication to solve organizational problems. This allows you to deliver the right message to the right audience at the right time via the right channel. 9 videos2 readings1 assignment1 discussion prompt This week, you will learn about brand basics and how the architecture of a brand sets forth a guide for strategic communication. We will discuss the importance of brand mission and core values, and how your brand should act with purpose to create authenticity and drive stakeholder relationships, including among employees. We will talk about how to leverage your employees to be ambassadors of your brand's mission so they help to tell your brand's story. The purpose of a brand and what it stands for matters! 9 videos2 readings1 assignment1 discussion prompt In this week, you will understand how to identify various target audiences and how to segment them in strategic communication planning. We will discuss the importance of audience research and how to develop insight that connects your brand's message to audience's interests. By the end of this week, you will be crafting the right messages for the right audience. 8 videos1 reading1 assignment1 discussion prompt In this final week, you will take a closer look at communication campaigns to understand how paid, earned, shared, and owned (PESO) media are used. We will discuss the the different types of communication campaigns, their purposes, and when to use them. You will look at how other brands have used PESO media to communicate for a strategic purpose because examining other strategic communication campaigns will better help you to better understand the different components required. Seeing a full communication campaign will help you to plan your own. 5 videos1 reading1 assignment1 discussion prompt | 4 modules | Beginner level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/integrated-and-strategic-communication-campaigns | null |
27 | Organizational Analysis | 192,533 | 4.6 | 1,542 | Daniel A. McFarland | Stanford University | ['Management', 'Organizational Theory', 'Organizational Analysis', 'Organizational Culture'] | In this introductory, self-paced course, you will learn multiple theories of organizational behavior and apply them to actual cases of organizational change. Organizations are groups whose members coordinate their behaviors in order to accomplish a shared goal. They can be found nearly everywhere in today’s society: universities, start-ups, classrooms, hospitals, non-profits, government bureaus, corporations, restaurants, grocery stores, and professional associations are some of many examples of organizations.
Organizations are as varied and complex as they are ubiquitous: they differ in size and internal structure; they can entail a multiplicity of goals and tasks (some of which are planned and others unplanned!); they are made up of individuals whose goals and motivations may differ from those of the group; and they must interact with other organizations and deal with environmental constraints in order to be successful. This complexity frequently results in a myriad of problems for organizational participants and the organization’s survival.
In this course, we will use organizational theories to systematically analyze how an organization operates and can best be managed. Organizational theories highlight certain features of an organization’s structure and environment, as well as its processes of negotiation, production, and change. Each provides a lens for interpreting novel organizational situations and developing a sense for how individual and group behaviors are organized. Theories are valuable for the analyst and manager because most organizational problems are unique to the circumstances and cannot be solved by simple rules of thumb. Armed with a toolset of organizational theories, you will be able to systematically identify important features of an organization and the events transforming it; choose a theoretical framework most applicable to the observed mode of organizing; and use that theory to determine which actions will best redirect the organization in desired directions.
In sum, the course has three goals: to become familiar with a series of real-world organizational phenomena; to learn different theoretical perspectives that can elucidate these phenomena; and to apply these different ways of “seeing” and managing organizations to cases. In such a fashion, the course is designed to actively bridge theory and practice, exposing students to a variety of conceptual tools and ways to negotiate novel situations. 11 videos1 assignment In this module, we will present a general introduction and discussion to decision-making in organizations. We will relate various rational system views of organizations that tend to focus on administrative units, or leaders of organizations. 11 videos1 assignment This module will give a more elaborate depiction of that model, and focus on its core process of exchange and coalition formation. Within organizations, you will frequently confront coalitions of interests, and you will come to realize that collective action and organizational reforms are impossible if you do not build and manage a coalition to get things done. Therefore, we turn now to Coalition theory. To relate this theory, throughout this chapter we will draw heavily on the writings by James G March (1962, 1994: chapter 4) and Kevin Hula (1999) concerning coalition formation. 11 videos1 assignment This module introduces you to the basic features of decision making in organized anarchies, or what some call a “garbage can theory’ of organizations. What do we mean that the decision process resembled an organized anarchy? Well, for example, some of them have a hard time coming up with their group’s platform and identity. Also, some of the group’s proposed solutions changed over the course of bargaining – some initially proposed universal vouchers only to promote targeted vouchers in the end. Almost all of the groups thought in terms of an identity and what that entailed. And they also thought about other’s identities and interests when trying to manipulate the situation in their favor. 8 videos1 assignment In this module, we will describe the theory of organizational learning and what it entails. In the most general terms, the organizational learning perspective concerns adaptation and learning from experience. But how does an organization learn? Organizations learn by encoding inferences from history into organizational structures (so best practices into rules, routines, and roles), people, technologies (curricula), and culture (norms, beliefs) that guide behavior. That is, organizations reflect on what works well or not, and then encode that knowledge into its organizational elements (participants, technology/tasks, social structure) so it can remember. 12 videos1 assignment In this module, we will cover organizational culture. We will look carefully at Gideon Kunda’s book, Engineering Culture, to put into question the organizational culture ideal. Within an organizational culture, actors make sense of their existence according to identities and norms, and these are often constructs afforded by the organization they are in. Think of the culture at firms like Apple or Facebook – all have an identity and norms surrounding their performance of it. As such, the motive in an organizational culture is the expression and fulfillment of an identity – a strong intrinsic motivator! An organizational culture entails normative (valued) and cognitive (implicit) aspects of organizational social structures. These are deep structural facets that guide interaction. 11 videos1 assignment The theory we will discuss in this chapter is Resource Dependence Theory, and it views an organization in terms of its resource dependencies with other firms in the environment. 11 videos1 assignment In this module, we will describe how organization’s researchers look at social networks within organizations. In addition, we will describe how some theorists contend there is a network form of organization that is distinct from hierarchical organizations and markets. So we will relate two perspectives: a purely analytic one that describes networks within organizations, and a theoretical one concerning a prescribed form of inter- organizational association that can result in better outputs. 13 videos1 assignment In this module, we will continue our discussion of organizations as open-systems whose survival depends on their relation with the environment. In particular, we will discuss one of the prevailing organizational theories stemming from sociology, called “neoinstitutional theory.” In oversimplified terms, one can think of neoinstitutional theory as arguing that an organization’s survival de- pends on its fit with the cultural environment. That is, a firm’s success depends on whether it adopts structures that are deemed rational and legitimate in the external environment; that the firm mirrors environmental beliefs about what a legitimate organization of that type should look like. Neoinstitutional theory has always been one of the harder theories for students to fully grasp, so we have organized the chapter to be a little repetitive. We will discuss many of the core concepts twice and relate them in different ways so you get a better sense for what this theory conveys. 11 videos1 assignment In this module, we conclude our study of organizations as open systems whose survival and success depends on their reaction to the environment. We introduce a 10th and final theory called “Population Ecology”. There is a long history of work that applies biological and natural selection metaphors to organizations (Scott 2003:117; Davis and Powell 1992:342-354), let alone to the study of society. 12 videos1 assignment Final exam for the course. 1 assignment | 11 modules | Beginner level | null | https://www.coursera.org/learn/organizational-analysis | 95% |
28 | Lightcap 4: Light in indoor contexts Effects & implications | Enrollment number not found | Rating not found | null | Yvonne de Kort | Eindhoven University of Technology | [] | Light is one of our most valuable resources on this earth. It makes the world visible to us, is the major driver of the 24-hr sleep-wake cycle to which not only humans, but virtually all life on earth (fauna and flora) submits. In fact, there would be no life on earth without light. It is therefore hard to overestimate the impact light has on humans, biologically, psychologically, socially. And yet, we hardly ever think or speak about light. LIGHTCAP 4 is titled “Light in indoor contexts”. This MOOC explores the principles of lighting and its effects on humans in various indoor settings. It introduces elements of light and light sources, light distribution indoors, lighting standards, measurements and last, simulations as an important design tool for optimizing indoor lighting. The course is one in a series of four, each with a different disciplinary basis and with complementary perspectives to the domain of light for humans. The basis of this course is in building physics, lighting design and architecture.
In this course you will:
(1) learn why it is important to consider light in the design and evaluation of indoor environments
(2) understand different light sources (daylight & electric lighting) and their properties as well as conceptual strategies for integrative daylighting and electric lighting design
(3) take away a general understanding of the ways in which architecture and design play a role in creating light exposures within indoor environments, and the various factors to keep in mind when designing spaces for people
(4) learn which metrics (e.g. glare, contrast, luminance) in a person's field of view need to be considered when providing for good lighting, and how to quantify all these elements
(5) learn to consider how light exposure profiles are built over time and how the built environment (particularly indoor spaces) influences that
(6) learn about standards and guidelines for indoor lighting on important parameters, such as, glare, discomfort and disability, material reflectance, and surface illumination
(7) be introduced to the use of simulation tools to quantify the effect of a lighting design.
(8) Specifically, you will learn: how to use grasshopper, perform daylight simulations with Ladybug tools, Electric light simulations with Honeybee legacy, and simulations for non-image forming light effects with Lark Spectral Lighting
(9) be re-introduced to light metrology, covering metrological quantities (radiance, irradiance, luminance, illuminance etc.) and their physical foundation
(10) learn about different types of light measurement devices (spectrometers, photometers, luminance meters and cameras) and their various applications.
(11) learn about procedures for static light measurements in indoor light settings (horizontal vs. vertical, grid arrangement, fov etc.)
(12) learn about longitudinal dosimetry, covering methodological considerations regarding measurement (device selection, calibration, measurement setup) and data analysis Welcome to LIGHTCAP 4 “Light in indoor contexts”. This course explores the principles of lighting and its effects on humans in various indoor settings. It introduces elements of light and light sources, light distribution indoors, lighting standards, measurements and, simulations as an important design tool for optimizing indoor lighting. The basis of this course is mostly in building physics, lighting design and architecture. 2 videos4 readings In this first lecture, Steffen introduces the course, revolving around the question why it is important to consider light in the design and evaluation of indoor environments. The lecture starts with an overview of the relevant human physiology (the eye, photoreceptors, the visual system, and the non-visual system), and effects of light on psychology, physiology, and behaviour (visual comfort, circadian rhythms, sleep regulation, alertness etc.). This is followed up by examples of how this applies to real world scenarios (shift work, Jetlag, office work etc.), laying the basis for the subsequent lectures in the course. At the end of the lecture the student should understand why it is important to consider light in indoor contexts and how this applies to the rest of the course. 6 videos1 assignment In this lecture, Myrta explains the fundamentals of daylighting and electric lighting design. With the completion of this lecture the student should understand different light sources and their properties as well as conceptual strategies for integrative daylighting and electric lighting design. The lecture will start by describing the different components of daylight (direct sunlight, diffuse skylight and reflected light). The student will learn how to do climate and site analysis and understand the effect of orientation. Different side-lighting and top-lighting strategies will be described using reference pictures. The students will also learn about the properties of different electric light sources, luminaires, and lighting control systems. The lecture will be completed with an exercise where the student will need to produce ideas of applying daylighting and electric lighting in a case study 5 videos1 assignment In this lecture, Megan will discuss how architectural characteristics and lighting design play a role in various lighting conditions and how this affects both the horizontal and vertical plane. We touch on topics of visual comfort and glare, differences between horizontal and vertical measurements, positive and negative aspects of each, and particularly discuss the various daylighting metrics that have been used for daylighting design in architecture (of course horizontal). 11 videos1 assignment In lecture 4, Niko takes the person perspective and asks “what makes for a good lighting here?”. It is followed by a brief explanation of the fish-eye picture and why it is used to illustrate (and analyse) ”personal” lighting in the field of view. Next, there are sub-sections on the elements of luminous environment and general design issues: glare and contrast ratios, expected luminance values, issue of the glare of the screens, good colour rendering for specific activities, orientation towards daylight and importance of access to the view when deciding on workspace layout, behaviour of materials with light, CCT and its mixing in the FoV, shading devices and orientation of the workspace (NWSE) and importance of user control override. Finally, at the end there is a “good design” checklist summarizing the 5 points to consider. 4 videos1 assignment In this lecture, Megan takes a building users’ perspective and introduces the concept of a user light profile that accumulates over a day and over a longer duration of time through space and time. Through simulation and video, the students learn about the concept of considering how users interact with a space throughout a day and tie back to the concept of spatial light exposure as a means of light accumulation. A second factor of behaviour includes a user’s influence on a given space that interrupts certain light exposures – e.g. in response to glare experiences or thermal discomfort, a common reason why people would often pull blinds - and the effects this has on light exposure levels both horizontally and vertically (i.e., spatial light distribution). 5 videos1 assignment In this lecture, Niko explains how standards form a base to ensure functional lighting and provide a good starting reference for the designer of space. The lecture then suggests a good practice to work beyond the standards to provide for other – for example atmospheric, or aesthetical - qualities, especially as standards are also constantly revised to fit the changing times and activities. This is followed by a section explaining how beside lighting levels defined in photopic illuminances and uniformities, lighting for the NIF effects is also getting slowly pushed into the guidelines / standards domain with ongoing research publications. The lecture is then summarized with examples of lighting standards and certificates and its application, also explaining the difference between standard being a regulation, or a guideline in some cases. 4 videos1 assignment This lecture is an introduction to lighting simulation as a method to test lighting design concepts by Myrta. This is a tutorial-based lecture that aims to teach how to quantify the effect of a lighting design. It is assumed that the student does not have prior experience with simulation tools. The students will work on creating a simple simulation model using ClimateStudio (probably). A 3D model will be provided to simplify the process. The students will select location, orientation, material properties, sky conditions, luminaire type and placement and they will calculate different grid- and view-based light metrics. At the end of the lecture, the students will be referred to more advanced lighting simulation tools for further learning. 7 videos1 reading To close this course, Steffen explains the measurement of static and personal light exposure in real world settings. The lecture starts with a brief introduction to light metrology, covering metrological quantities (radiance, irradiance, luminance, illuminance etc.) and their physical foundation. It is followed up by an overview of different types of light measurement devices (spectrometers, photometers, luminance meters and cameras) and their various applications. Next, procedures for static light measurements in indoor light settings are described (horizontal vs. vertical, grid arrangement, fov etc.) and followed by important considerations. Then the process of Dosimetry is described, covering methodological considerations regarding measurement (device selection, calibration, measurement setup) and data analysis (processing, quantification).
Finally, the lecture is concluded with a discussion of the relevance, applications and use cases of light measurements, and a case study is given in which students will be asked to describe and discuss the procedure to evaluate the efficacy of a given lighting intervention. 6 videos1 assignment | 9 modules | null | 8 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/lightcap-4-indoor-lighting | null |
29 | Prerequisites and Advanced Machine Learning for NLP | Enrollment number not found | Rating not found | null | Packt - Course Instructors | Packt | ['Linear Regression', 'NumPy', 'Machine Learning', 'Natural Language Processing', 'Data Science'] | Embark on a comprehensive learning journey starting with fundamental Python programming, including installation, variable manipulation, and essential data structures like lists, tuples, and dictionaries. Gain proficiency in numerical computations with NumPy and data manipulation with Pandas. Strengthen your mathematical foundation with key linear algebra concepts vital for machine learning algorithms. Progress to data visualization using Matplotlib and Seaborn, interpreting and presenting data effectively. Develop a strong base in simple linear regression and gradient descent, and explore classification techniques with KNN and logistic regression through hands-on case studies.
Dive into advanced machine learning algorithms, including regularization techniques and deep learning foundations, tailored for NLP applications. By course end, you'll have a robust understanding of implementing and optimizing machine learning models for NLP tasks, preparing you for advanced projects and career opportunities.
Ideal for aspiring data scientists, machine learning enthusiasts, and professionals specializing in NLP, with basic Python and high school-level math knowledge required. In this module, we will introduce the foundational aspects of Python, including installation and basic programming concepts. You will learn about variables, operations, loops, functions, and data structures such as strings, lists, tuples, sets, and dictionaries, preparing you for more advanced Python programming tasks. 18 videos2 readings In this module, we will cover the essential concepts of NumPy, focusing on array operations. You will learn how to perform various computations and manipulations with NumPy arrays, enabling efficient data handling in Python. 3 videos In this module, we will dive into Pandas, a powerful data manipulation library. You will learn about Series and DataFrames, data operations, indexing, merging, and pivot tables, equipping you with the skills to handle complex data analysis tasks. 12 videos1 assignment In this module, we will explore linear algebra concepts crucial for machine learning. You will learn about vectors and matrices, perform various operations, and understand how to extend these concepts to higher dimensions, forming a solid mathematical foundation for advanced topics. 5 videos In this module, we will focus on data visualization techniques using Matplotlib and Seaborn. You will learn how to create and interpret visualizations, work on a case study, and apply these techniques to time series data, enhancing your ability to present and analyze data visually. 4 videos In this module, we will introduce you to machine learning and linear regression. You will learn about the principles and mathematics behind linear regression, as well as how to apply it to real-world data through case studies, preparing you for more complex machine learning algorithms. 10 videos1 assignment In this module, we will cover gradient descent, a fundamental optimization technique. You will learn about its prerequisites, cost functions, optimization methods, and the differences between closed-form solutions and gradient descent, providing a strong basis for learning advanced machine learning algorithms. 8 videos In this module, we will introduce classification and K-Nearest Neighbors (KNN). You will learn about classification principles, how to measure KNN's accuracy and effectiveness, and how to apply KNN to various problems, with practical case studies to reinforce your understanding. 14 videos In this module, we will delve into logistic regression, an essential classification technique. You will learn about the Sigmoid function, log odds, and how to apply logistic regression to a case study, providing a robust understanding of this powerful tool. 4 videos1 assignment In this module, we will explore advanced machine learning algorithms and concepts. You will learn about regularization techniques, model selection, and performance evaluation through practical case studies, enhancing your ability to implement and optimize advanced models. 10 videos In this module, we will introduce deep learning, covering its history, key concepts, and neural network structures. You will learn about training neural networks, activation functions, and representations, providing a comprehensive introduction to this transformative field in machine learning. 10 videos1 reading2 assignments | 11 modules | Intermediate level | 18 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/packt-prerequisites-and-advanced-machine-learning-for-nlp-xwtax | null |
30 | U.S. Federal Taxation Specialization | 21,636 | 4.8 | 717 | Michael P Donohoe, PhD, CPA | University of Illinois Urbana-Champaign | ['Business Analysis', 'Federal Income Tax', 'Tax Accounting', 'IRS Regulations', 'Pass-Through Entity Taxation', 'Corporate Tax', 'Depreciation', 'Amortization', 'Capital Gains and Losses', 'Property Taxation', 'Business Analysis', 'Federal Income Tax', 'Tax Accounting', 'IRS Regulations', 'Pass-Through Entity Taxation', 'Corporate Tax', 'Depreciation', 'Amortization', 'Capital Gains and Losses', 'Property Taxation'] | This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations. Applied Learning Project Courses within this specialization involve multiple projects within each course, including preparing tax returns and real-world applications of tax principles. In addition, the Capstone for this specialization is comprised of a comprehensive project reflecting key principles of all four foundational courses. This course is the first course in a five-course US Federal Tax Specialization. It covers and focuses on the U.S. federal tax system as it relates to individuals, employees, and sole proprietors. Key concepts covered include gross income and items that are statutorily included or excluded in it, personal and business expenses that qualify as tax deductions, and the differing tax treatments for employees versus self-employed taxpayers. Unlike many other introductory courses in tax and as part of this course’s comprehensive wrap-up, learners will be provided with practical and tangible experience reporting both income and expenses on the main individual tax return used in the US, Form 1040. If you have enjoyed this course, consider enrolling in our online graduate Accounting program. The University of Illinois at Urbana-Champaign, consistently ranked as one of the nation's top three accounting programs, now offers a master’s in accounting at a very affordable tuition rate and is completely online. The iMSA is a full Master of Accountancy program and students graduate with an MS that is highly recognized. Try an open course or two, then apply for admission into the credit-bearing version as you may be eligible to take credit-bearing courses during the application process. If you are missing any prerequisites for the full degree, you can complete Coursera courses to demonstrate readiness and strengthen your application for the iMSA. For more information on this exciting iMSA online program, refer to this link: https://www.coursera.org/degrees/imsa This course examines the U.S. federal tax system as it relates to property transactions of business owners and shareholders. Topics include cost recovery, such as depreciation, amortization, and depletion; calculation of realized versus recognized gains and losses; evaluation of the potential tax effects of nontaxable exchanges; and the combining, or netting, gains and losses that are different in nature. Assignments facilitate self-discovery of knowledge and development of a variety of professional skills. This course provides an introduction to the U.S. federal income taxation of corporations and their shareholders. The course focuses on the relevant provisions of Subchapter C of the Internal Revenue Code, as well as related Treasury Regulations and judicial opinions, governing corporate formation, operations, distributions, and liquidation. Practical in-class study problems facilitate self-discovery of technical tax knowledge along with the development of a variety of professional skills and attitudes. This course provides an introduction to the U.S. federal income taxation of pass-through business entities, including Subchapter S corporations, partnerships, and limited liability companies. The course focuses on the relevant provisions of Subchapters S and K of the Internal Revenue Code, as well as related Treasury Regulations and judicial opinions, governing the formation, operation, and termination of pass-through entities. Practical in-class study problems facilitate self-discovery of technical tax knowledge along with the development of a variety of professional skills and attitudes. | 4 course series | Intermediate level | 3 months (at 10 hours a week) | https://www.coursera.org/specializations/united-states-federal-taxation | null |
31 | Learn Interpersonal Psychotherapy | 4,409 | 5.0 | 27 | Paula Ravitz | University of Toronto | [] | How can psychotherapy help people struggling with depression and stressful interpersonal life events? How do therapists facilitate effective management of interpersonal experiences such as loss/grief, social role transitions, role disputes or interpersonal sensitivity? Interpersonal Psychotherapy (IPT) is a brief, structured, evidence-proven treatment that helps individuals resolve interpersonal issues associated with the onset, worsening, or maintenance of depression. It is recommended by the World Health Organization and expert consensus guidelines as a depression treatment. This case-based, interactive online course provides teaching on the theories, indications and clinical practice guidelines for IPT. The course features interactive learning exercises and video-taped demonstrations of clinical principles-in-practice. By the end of the course, learners will better understand how IPT can help patients address and resolve depression-related interpersonal problems, thereby improving their mood. Welcome to the the Learn Interpersonal Psychotherapy (IPT) Coursera Course! IPT is a brief, structured psychotherapy treatment that has been shown to be effective, especially for depression. Throughout the course there will be many clinical demonstration videos and case studies to illustrate IPT principles in practice, along with interactive questions to help you to consolidate your learning. This course is divided into nine lessons that you can complete at your own pace. This first short lesson includes welcome messages to the course and information about how to use the course. 1 video10 readings The second lesson will start with an introduction to the foundational principles and structure of interpersonal psychotherapy (IPT). This lesson will teach you the foundational requirements of establishing and maintaining a good therapeutic alliance. The lesson will conclude with a review of how to recognize individual patient differences of culture, trauma histories and patterns of relating, and how these differences will affect IPT practice. 1 video8 readings5 assignments The third lesson will introduce you IPT’s clinical guidelines and the therapeutic tasks of the beginning phase of IPT, such as conducting the Interpersonal Inventory and providing psychoeducation. The beginning-phase therapeutic tasks help the IPT therapist link the onset of the patient’s depressive symptoms to an interpersonal problem area focus—either grief, role transitions, role disputes or interpersonal sensitivity. 4 videos7 readings3 assignments Now that you have learned about the IPT beginning-phase tasks, we will proceed to the middle-phase therapeutic guidelines. This fourth week focuses on the middle-phase strategies that are used in all of the differing IPT problem areas of focus. Subsequent lessons will discuss each IPT focal area with specific context exploration guidelines. Please be sure to complete the interactive, case-based exercises and check-in questions to help to consolidate your learning. 2 videos8 readings4 assignments You have now learned about the middle-phase IPT strategies used in all four of the IPT focal areas. Continuing with the middle-phase of IPT, the next four lessons will examine each of the four IPT focal areas: grief, role transitions, role disputes and interpersonal sensitivity. This next lesson focuses on grief, with a case example of someone whose spouse has died. Be sure to do all of the interactive exercises and end-of-lesson quiz to consolidate your learning. 1 video9 readings4 assignments Life changes and social role transitions are common, and even when planned for, can be associated with the onset or worsening of depression. This lesson presents the IPT clinical guidelines for the focus area of role transitions and includes a case-based example of a woman with post-partum depression. Be sure to complete the interactive exercises to help consolidate your learning. 1 video8 readings4 assignments This next lesson focuses on role disputes or conflicts in close relationships that can trigger or be associated with an onset or worsening of depression. Throughout the lesson there are video demonstrations of the focus-specific IPT tasks applied to the case of “Anna,” a patient who is experiencing depressive symptoms relating to conflict with her father, and whom you first encountered in Lesson 3. Be sure to complete all of the interactive exercises and end-of-lesson quiz to help to consolidate your learning. 3 videos9 readings3 assignments This next lesson focuses on interpersonal sensitivities or loneliness that can be associated with an onset or worsening of depression. Throughout the lesson there are video demonstrations of the focus-specific IPT tasks applied to case of “Ethyl,” a patient who is experiencing depressive symptoms relating to increasing social isolation, and whom you first encountered in Lesson 3. Be sure to complete all of the interactive exercises and end-of-lesson quiz to help to consolidate your learning. 2 videos7 readings3 assignments This final lesson reviews clinical principles of the ending phase tasks of IPT with several video demonstrations. Interactive exercises are embedded in the videos and also appear throughout this lesson to help to consolidate your learning about the termination, concluding phase tasks of IPT. 4 videos8 readings4 assignments | 9 modules | null | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/learn-ipt | null |
32 | Patent Law | 15,897 | 4.8 | 264 | R. Polk Wagner | University of Pennsylvania | ['Innovation', 'Business Strategy', 'Reading a Patent', 'Competition'] | In our modern technologically-based economy, the creation and enforcement of patent rights can make or break a business. With record numbers of patents being issued every year, the stakes for inventors (and, indeed, their lawyers) continue to rise, even as the patent law and its administration faces growing criticism. This course begins with an examination of the fundamental justifications for and creation of U.S. patent rights as well as the relationship between patent law and other “intellectual property” concepts. We will then delve into the details of the U.S. requirements for patentability, and explore the scope of patent rights, again considering how the policies expressed reflect the justifications for patent rights. Then we will look at an actual patent document and analyze the different pieces of an issued patent with a special focus on the importance of patent claims. Finally, we will explore strategies for dealing with patent infringement. This module introduces patent law - what patents are, what they cover, how they are enforced, and the structure of the U.S. patent system. 7 videos4 readings3 assignments1 discussion prompt What exactly can you patent? This module delves into the important details of the various patentability requirements. 9 videos6 readings3 assignments Once you have a patent, what exactly do you have? This module explores the exact scope and limits of patent coverage through a close study of patent claims. 6 videos1 reading1 assignment Once you have a patent, how do you enforce it? This module looks at patent enforcement as well as patent avoidance. We also take a close look at the fascinating case of the Super Soaker patent. 8 videos4 readings1 peer review | 4 modules | null | 10 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/patents | 92% |
33 | The Science of Success: What Researchers Know that You Should Know | 187,238 | 4.8 | 2,793 | Paula Caproni | University of Michigan | ['Personal Branding', 'Planning', 'Social Capital', 'Self-Motivation'] | This engaging course is designed to help you achieve the success that you desire. Drawing on decades of scientific research, you will learn what the most successful people do differently than others, why IQ is not the most significant predictor of success (and can sometimes backfire), and why many commonly held beliefs hold people back from achieving their goals. Although this course is based on the science of success, you will learn many practical ideas that you can apply to your own life immediately, particularly in three main areas:
• Getting better results at work (and school)
• Achieving career success (however you define success)
• Enjoying a meaningful, happy, and healthy life
By the time you finish this course you will know more than most people know about what predicts success in life. One of the most important lessons you’ll learn is that success is earned day-by-day through small wins - small, achievable actions that together can help you achieve your goals sooner and exceed even your own expectations. Therefore, you will have an opportunity to complete a detailed action plan through which you can turn what you learned into specific steps for achieving your most treasured life goals. This course is designed to help you achieve the success in life that you desire and deserve. This module sets the foundation for the course and introduces you to the course objectives, as well as to four strategies that successful people use to achieve their life goals. In the first video, you’ll learn about the goals of the course and how a scientifically-based approach to success can help you achieve your life goals. In the second video, you’ll have the opportunity to think carefully about what success means to you, particularly in the areas of achieving better and more meaningful results at work, achieving the career success that you desire, and enjoying a happy, healthy life. In the third video, you’ll learn about the most common myths about success that can distract you from achieving your life goals, as well as what researchers have found really predicts success in life. Happy learning! 5 videos6 readings1 assignment1 discussion prompt In this module, you’ll learn how some beliefs can hold you back from achieving your goals, while others – such as having a growth mindset and positive core self-evaluations - can propel you forward toward your goals. You will also learn how having a growth mindset can protect people against the harmful effects of bias and prejudice and why people with positive core self-evaluations tend to earn significantly more money, regardless of their grades in school and family background. By the end of this module, you’ll have specific strategies for creating beliefs that will help you set high goals and succeed in achieving them. 3 videos1 reading1 assignment In this module, you’ll learn about the importance of having an expertise that is meaningful to you and contributes to others. In the first video, you’ll learn about the role that expertise played in Pilot Chesley “Sully” Sullenberger’s successful emergency landing of a United Airlines flight with 155 people on board into the Hudson River after both engines failed. You’ll learn how Sullenberger developed his expertise and how you can apply these lessons to your own pursuit of expertise. In the second video, you’ll learn about what sets experts apart from non-experts, as well as the essential role that mental representations and chunks play in the development of expertise. You’ll also learn what birds, squirrels, and elite London cab drivers have in common and what this means for you. Hint: It has to do with how the brain develops in experts. In the third video, you’ll learn a step-by-step strategy for engaging in the same type of practice that experts use to develop their expertise. 3 videos1 reading1 assignment In this module, you’ll learn about two types of self-motivation that predict success: Conscientiousness and Grit. The first video focuses on conscientiousness – what it is, how it can pay off for you in school and at work, and the benefits conscientiousness has on your health. You’ll also discover researchers have learned about success from a famous series of studies about children, marshmallows, and delayed gratification. The second video focuses on grit – what it is, how it differs from conscientiousness, how it leads to success, what specific techniques you can use to become grittier, and how to avoid some of the downsides to being gritty. You will also have the opportunity to assess your own conscientiousness and grit. 2 videos3 readings1 assignment In this module, you’ll learn about the power of developing mutually supportive relationships in predicting success and well-being in life. You’ll learn what social capital is, why it is a competitive advantage, and how it contributes to your success, as well as to the success of organizations and societies. You’ll learn to avoid several myths associated with relationship building, as well as four skills that are essential to developing relationships and social capital: developing self-awareness, creating your brand, being an energizer, and building your network of relationships. You’ll also have an opportunity to think about your brand, as well as map out and assess the effectiveness of your own network based on four criteria: size, structure, diversity, and strength of relationships. 4 videos2 readings1 assignment By the time you reach this module, you will know more than most people know about what predicts success in life. You will now have the opportunity to turn what you know into actions that will help you achieve your life goals. You will develop an action plan that will have three parts: The heart (identifying what is most important to you in life), head (identifying the one area that you will work on in the short-term to move you toward achieving your goals), and hands (creating the steps you will take in the short-term to make progress in that specific area). You’ll learn about the power of small wins in achieving your life goals, as well as the importance of resilience and self-compassion when faced with setbacks. 1 video1 reading Once you have watched all the videos, successfully completed the four quizzes, and created your personalized action plan, you will have successfully completed the course! You can use the Personalized Action Plan Template (found in the submissions area of the assignment) to create your action plan. Your action plan will be reviewed and graded by another course participant. If needed, you can resubmit your action plan until you achieve a passing grade. Of course, you should continue to refine your action plan throughout the different stages of your life. I wish you the very best on your journey to the life you desire and deserve. 2 readings1 peer review | 7 modules | Beginner level | null | https://www.coursera.org/learn/success | 98% |
34 | Refugees in the 21st Century | 24,434 | 4.8 | 538 | Professor David Cantor | University of London | ['Practice sifting complex factual information to identify important features and trends', 'Learn to apply technical legal and policy categories to a range of factual scenarios'] | This MOOC provides insight into the refugee phenomenon as one of the most complex, compelling and (arguably) misunderstood features of the 21st century. Taking a global perspective, it will outline the fundamentals of who ‘refugees’ are, where they come from and where they go, as well as delving into the features of the global system for refugee protection and ‘solutions’ for those who have been forcibly displaced. It places the student at the centre of the learning experience through engagement with a range of robust and challenging activities, materials and online peer engagement. This MOOC provides insight into the refugee phenomenon as one of the most complex, compelling and (arguably) misunderstood features of the 21st century. Taking a global perspective, it will outline the fundamentals of who ‘refugees’ are, where they come from and where they go, as well as delving into the features of the global system for refugee protection and ‘solutions’ for those who have been forcibly displaced. It places the student at the centre of the learning experience through engagement with a range of robust and challenging activities, materials and online peer engagement. This course has been developed by the Refugee Law Initiative at the renowned School of Advanced Study of the University of London, one of the leading research institutions working on refugee protection and forced migration studies. Please review the Course Introduction video and activities and then proceed to our first weekly lesson: 'A world of refugees'. 2 videos5 readings1 assignment4 discussion prompts This session addresses the paramount question of who is a refugee. The concept of a ‘refugee’ can be interpreted in several ways. The session shows that, alongside the ‘everyday’ meaning of the term, the global refugee regime established by the international community also uses a ‘specialised’ technical understanding of the term. The session asks you to think how that technical term might be applied by governments and others in practice to different situations when deciding who qualifies as a ‘refugee’ deserving protection by the international community.This week we will be looking to explore the following areas: key aspects of what we mean when we use the term ‘refugee’; comparisons between the technical definition of a ‘refugee’ and everyday use of this term; key features of the technical ‘refugee’ definition in the 1951 Refugee Convention, and; ‘asylum seeker’ as a non-technical term merely for persons seeking to have their refugee status recognised. 1 video1 reading1 assignment4 discussion prompts In today’s world, there exists a ‘global system’ for responding to refugee arrivals. This session introduces you to two of the main features of this system: the 1951 Refugee Convention as the ‘cornerstone’ of refugee protection standards globally; and the Office of the United Nations High Commissioner for Refugees (UNHCR) as the global actor charged with the role of refugee protection by the international community. You are asked to reflect on the continuing relevance of this system, established in the middle of the 20th century, in the shifting contexts of the 21st century.This week we will be looking to explore the following areas: the global ‘system’ created by States for refugee protection; the main features of its legal ‘cornerstone’, the 1951 Refugee Convention, and; how the main institutional actor, UNHCR, fulfils its role in today’s world. 1 video1 reading1 peer review2 discussion prompts With forced displacement at such high levels, a crucial component of the refugee protection regime is finding durable, long-lasting solutions for refugees and displaced persons. This session introduces you to the three core ‘durable solutions’ for refugees: voluntary repatriation, local integration and resettlement. You will examine the similarities and differences between these forms of durable solution, and the challenges that lack of solutions in practice pose for refugees around the world. This week we will be looking to explore the following areas: the concept of ‘solutions’ for refugees as the end of refugee status; the similarities and differences between the three main ‘durable solutions’ for refugees, and; the process and challenges of (lack of) solutions in a real-life case study. 1 video1 reading1 assignment3 discussion prompts For a variety of reasons, some refugees move on from their first country or region of asylum to more geographically distant locations. Looking particularly at the European ‘crisis’ of 2015, this session explores the patterns and drivers of such refugee ‘mobility’ and how refugees undertaking these migratory journeys can get caught up in broader efforts to prevent or discourage irregular migration. This week we will be looking to explore the following areas: debates about the extent to which refugees are ‘migrants’; Government strategies to deter immigration and their impact on refugees, and; a case study of secondary movements and deterrence strategies. 1 video1 reading1 assignment3 discussion prompts Refugees are not the only kind of forced migrants. Indeed, they represent only the tip of the iceberg so far as the wider universe of forced migrants in the 21st century is concerned. This session asks you to consider two of these other kinds of forced migrants lacking the protection of a State: stateless persons; and ‘internally displaced persons’ (IDPs). It focuses particularly on the similarities and differences between refugees and IDPs globally, including an assessment of the main protection challenges facing IDPs globally today. This week we will be looking to explore the following key areas: the wider range of forced migrants, including stateless persons, IDPs etc.; similarities and differences between refugees and conflict-IDPs globally, and; protection challenges in situations of internal displacement. 1 video1 reading1 peer review2 discussion prompts | 6 modules | Beginner level | null | https://www.coursera.org/learn/refugees-21st-century | 98% |
35 | Introduction to AWS Cloud Careers | 4,121 | 4.7 | 65 | Rafael Lopes | Amazon Web Services | ['Solution Architecture', 'Cloud Computing', 'Developing on AWS', 'Cloud Operations', 'AWS cloud'] | This course introduces technical roles in the AWS Cloud and explains why the Public Cloud Computing model is the new normal. The instructors teach some of the terminologies that are needed to start a Cloud learning journey, covering topics such as the difference between IaaS, PaaS and SaaS, Cloud Computing models (Public, Private and Hybrid Cloud), what are APIs (and why they are important), elasticity, horizontal and vertical scaling. Then, we define the difference between relationship, availability, and milestone-oriented roles, and interview Amazon employees who provide their point of view of how is the day in a life of a Solutions Architect, Data Scientist, Software Developer Engineer, Systems Administrator, Security Engineer, and Customer Support Engineer. This week, you'll be introduced to some of the terminology that’s essential to begin your cloud learning journey, such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). You'll also learn how to differentiate between cloud computing models (including public, private, and hybrid clouds), and discuss their use cases and benefits. Lastly, you'll dive deeper into topics such as elasticity and horizontal and vertical scaling, and learn about their significance in cloud computing. 9 videos5 readings1 assignment2 plugins This week, you'll explore different technical roles in the AWS Cloud, such as solutions architect, data scientist, software development engineer, systems administrator, security engineer, and technical account manager. You'll also learn about their responsibilities and day-to-day activities. 10 videos2 readings1 assignment1 discussion prompt1 plugin | 2 modules | Beginner level | 4 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/aws-cloud-careers | null |
36 | Decision Making and Reinforcement Learning | 2,929 | 4.2 | 17 | Tony Dear | Columbia University | ['Monte Carlo Method', 'Reinforcement Learning', 'Markov Decision Process', 'Machine Learning', 'Deep Learning'] | This course is an introduction to sequential decision making and reinforcement learning. We start with a discussion of utility theory to learn how preferences can be represented and modeled for decision making. We first model simple decision problems as multi-armed bandit problems in and discuss several approaches to evaluate feedback. We will then model decision problems as finite Markov decision processes (MDPs), and discuss their solutions via dynamic programming algorithms. We touch on the notion of partial observability in real problems, modeled by POMDPs and then solved by online planning methods. Finally, we introduce the reinforcement learning problem and discuss two paradigms: Monte Carlo methods and temporal difference learning. We conclude the course by noting how the two paradigms lie on a spectrum of n-step temporal difference methods. An emphasis on algorithms and examples will be a key part of this course. Welcome to Decision Making and Reinforcement Learning! During this week, Professor Tony Dear provides an overview of the course. You will also view guidelines to support your learning journey towards modeling sequential decision problems and implementing reinforcement learning algorithms. 6 videos6 readings1 assignment1 programming assignment3 discussion prompts1 plugin Welcome to week 2! This week, we will learn about multi-armed bandit problems, a type of optimization problem in which the algorithm balances exploration and exploitation to maximize rewards. Topics include action values and sample averaging estimation, 𝜀-greedy action selection, and the upper confidence bound. You could post in the discussion forum if you need assistance on the quiz and assignment. 3 videos1 reading1 assignment1 programming assignment2 discussion prompts Welcome to week 3! This week, we will focus on the basics of the Markov decision process, including rewards, utilities, discounting, policies, value functions, and Bellman equations. You will model sequential decision problems, understand the impact of rewards and discount factors on outcomes, define policies and value functions, and write Bellman equations for optimal solutions. You could post in the discussion forum if you need assistance on the quiz and assignment. 6 videos1 reading1 assignment1 programming assignment3 discussion prompts Welcome to week 4! This week, we will cover dynamic programming algorithms for solving Markov decision processes (MDPs). Topics include value iteration and policy iteration, nonlinear Bellman equations, complexity and convergence, and a comparison of the two approaches.You could post in the discussion forum if you need assistance on the quiz and assignment. 6 videos1 reading1 assignment2 programming assignments3 discussion prompts Welcome to week 5! This week, we will go through topics on partial observability and POMDPs, belief states, representation as belief MDPs, and online planning in MDPs and POMDPs. You will also apply your knowledge to update the belief state and employ a belief transition function to calculate state values. You could post in the discussion forum if you need assistance on the quiz and assignment. 5 videos2 readings1 assignment1 programming assignment3 discussion prompts Welcome to week 6! This week, we will introduce Monte Carlo methods, and cover topics related to state value estimation using sample averaging and Monte Carlo prediction, state-action values and epsilon-greedy policies, and importance sampling for off-policy vs on-policy Monte Carlo control. You will learn to estimate state values, state-action values, use importance sampling, and implement off-policy Monte Carlo control for optimal policy learning. You could post in the discussion forum if you need assistance on the quiz and assignment. 6 videos2 readings1 assignment1 programming assignment2 discussion prompts Welcome to week 7! This week, we will cover topics related to temporal difference learning for prediction, TD batch methods, SARSA for on-policy control, and Q-learning for off-policy control. You will learn to implement TD prediction, TD batch and offline methods, SARSA and Q-learning, and compare on-policy vs off-policy TD learning. You will then apply your knowledge in solving a Tic-tac-toe programming assignment.You could post in the discussion forum if you need assistance on the quiz and assignment. 5 videos2 readings1 assignment3 programming assignments2 discussion prompts Welcome to week 8! This module covers n-step temporal difference prediction, n-step SARSA (on-policy and off-policy), model-based RL with Dyna-Q, and function approximation. You will be prepared to implement n-step TD learning, n-step SARSA, Dyna-Q for model-based learning, and use function approximation for reinforcement learning. You will apply your knowledge in the Frozen Lake programming environment. You could post in the discussion forum if you need assistance on the quiz and assignment. 4 videos3 readings1 assignment1 programming assignment2 discussion prompts1 plugin | 8 modules | Intermediate level | 47 hours to complete (3 weeks at 15 hours a week) | https://www.coursera.org/learn/dmrol | null |
37 | The Structured Query Language (SQL) | 56,022 | 4.7 | 801 | Alan Paradise | University of Colorado Boulder | ['Database Application', 'Data Science', 'Database (DBMS)', 'database administration', 'SQL (Structured Query Language)'] | In this course you will learn all about the Structured Query Language ("SQL".) We will review the origins of the language and its conceptual foundations. But primarily, we will focus on learning all the standard SQL commands, their syntax, and how to use these commands to conduct analysis of the data within a relational database. Our scope includes not only the SELECT statement for retrieving data and creating analytical reports, but also includes the DDL ("Data Definition Language") and DML ("Data Manipulation Language") commands necessary to create and maintain database objects. The Structured Query Language (SQL) 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. The origins of SQL, what it is and how it works. 5 videos2 readings3 quizzes2 discussion prompts The SELECT statement - retrieving data from your database. 5 videos6 readings5 quizzes1 discussion prompt1 ungraded lab The five GROUP functions. 3 videos4 readings6 quizzes Using the JOIN. 4 videos4 readings5 quizzes1 discussion prompt SQL Statements: beyond the SELECT. 4 videos6 readings5 quizzes Some more advanced SQL capabilities. 5 videos7 readings4 quizzes1 peer review1 discussion prompt | 6 modules | Beginner level | null | https://www.coursera.org/learn/the-structured-query-language-sql | 96% |
38 | UX (User Experience) Capstone | 16,610 | 4.7 | 59 | Mark Newman | University of Michigan | ['User Research', 'Adobe Photoshop', 'User Experience (UX)', 'User Experience Design (UXD)'] | In this UX capstone course, you’ll conduct a multi-stage user experience project to design a product from scratch. You will employ interviews, inspection methods, and user testing, along with ideation, design, and prototyping methods to gain and communicate valuable insight that can be used to deliver a compelling product. You will:
Learn how to design and carry out an integrated multi-phase user experience research and design project
Gain experience conducting user experience research in a real-world setting
Gain hands-on experience with a realistic UX design project
Improve ability to communicate design concepts and actionable research findings. 3 videos6 readings1 app item 1 video1 reading1 assignment1 app item 1 video1 reading1 app item 1 video1 reading1 assignment1 app item 1 video1 reading1 assignment1 app item 2 videos2 readings1 peer review1 plugin | 6 modules | Beginner level | 18 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/user-experience-capstone | null |
39 | Microsoft UX Design Professional Certificate | 7,957 | 4.7 | 167 | Microsoft | Microsoft | ['User Experience (UX)', 'Prototype', 'Wireframe', 'Artificial Intelligence', 'Figma (Design Software)'] | Through hands-on projects and expert-led instruction, you'll learn the entire UX design process, from conducting user research and creating wireframes to designing high-fidelity mockups and prototypes. You'll also learn essential soft skills like collaboration and communication, crucial for success in any design role. This Professional Certificate is unique in its focus on: Hands-on Learning:You'll build a professional portfolio showcasing your skills to potential employers. AI in UX Design:Leverage AI as a powerful tool to enhance UX Design efficiency and creativity. Industry-Relevant Tools:Learn to use Microsoft PowerPoint, Figma, and Fluent 2, popular design tools used by professionals. Accessibility and Inclusive Design:Create designs that cater to diverse user needs. Collaborative Design:Gain experience working with cross-functional teams. Upon completion, you'll be able to: Conduct user research and create user personas. Develop wireframes, mockups, and interactive prototypes. Apply visual design principles and create high-fidelity designs. Understand and implement accessibility guidelines. Effectively communicate design decisions and collaborate with stakeholders. Receive guidance on resume building, job searching, and interviewing. No prerequisites are required.Whether you're switching careers or just starting, this program will provide you with the foundation and practical skills needed to thrive in the exciting field of UX design. Applied Learning Project Throughout this program, you'll work on a capstone project: designing a mobile grocery shopping app for busy professionals. In a series of 12 projects, you'll conduct user research, create wireframes and prototypes, and test your designs to ensure a seamless and intuitive user experience. You’ll apply UX design skills to a real-world scenario, building a portfolio-worthy piece that demonstrates your ability to solve complex design challenges. You’ll start with user research, using different methods to uncover the pain points and the wants and needs busy professionals have when it comes to buying groceries. You’ll design the information hierarchy within the app, ensuring a logical structure that makes sense to users. Finally, you'll transform your static mockups into an interactive prototype so Grocery Shopping App users can tap, swipe, and navigate the app, and give you valuable feedback on your design. This course explores the core concepts of User Experience Design (UXD) and Human-Centered Design (HCD). It introduces design thinking and how it is used in UX/UI design. It will also cover UX roles and responsibilities. Finally, learners will start work on a portfolio of their designs. In this course, learners will analyze user needs and research and use those insights to make design choices. They will review design ideation techniques and use Design Thinking to generate create storyboards, user flow diagrams, and journey maps. Last, they will use information architecture principles to organize content for intuitive navigation. In this course, you will create wireframes, mockups, and prototypes, using Figma and Fluent 2 Design. In this course, you will apply visual design principles to create high-fidelity mockups, considering platform-specific design patterns and best practices, while incorporating user feedback from usability testing. | 4 course series | Beginner level | 2 months (at 10 hours a week) | https://www.coursera.org/professional-certificates/ux-design | null |
40 | CVS Health Call Center Customer Service Professional Certificate | 7,245 | 4.8 | 141 | Denielle Booth | CVS Health | ['Customer Service', 'Communication', 'Task Prioritization', 'Time management', 'De-escalation'] | The demand for call center customer service representatives is huge, there are thousands of open job roles in the US alone. If you are someone that enjoys talking to people and solving problems and are ready for new experiences, then this program is right for you. Customer service in a call center is an exciting career where every day is a new day and a new adventure. If you're considering a career in retail customer service and you're someone who is passionate about providing exceptional customer experiences, this role is for you. This program uniquely prepares learners for their new role by using a blend of videos, activities, discussions, simulations, peer-reviewed projects, and a final capstone. As you complete each of these activities, you will create experiences that you can reference in job interviews or even as you work with customers after you have landed the job. At the end of this program, you will be able to:
- Create positive interactions with customers
- De-escalate conflict with customers
- Create solutions to customer problems
- Describe the different roles in call center customer service Upon completion of this program, you will receive a Professional Certificate from CVS Health to showcase your proficiency. You'll also gain access to exclusive career support resources to help you in your job search and you’ll have a portfolio of meaningful activities you have completed to show prospective employers. Applied Learning Project Throughout this program, there are numerous self-guided activities to help you apply what you learn. In addition, there are three peer review projects, one capstone project, and eight simulations. Simulations allow you to practice solving customer problems in real-world situations. Customers and managers will react to your choices in the simulation, and you will be able to correct your actions or words as the simulation continues. The projects will give you portfolio examples of how to handle customer interactions based on your practice in real-world simulations. The final capstone project allows you to research and evaluate call center tasks in a real-world setting. You will use a checklist to provide an analysis of your experience and reflect on how you would act differently based on what you’ve learned throughout the program. The Introduction to Customer Service course presents an in-depth look at communication, time management and de-escalation needed for a career in customer service. This course presents frameworks for communication, time management and problem-solving that allow you to improve your skills immediately and to evaluate customer service interactions. In addition, hands-on activities and community observations and projects are a part of this course, allowing you to get a real-world idea of key areas of customer service happening in your community. By the end of the course, you will be able to:
- Create positive interactions with customers
- De-escalate conflict with customers
- Process retail transactions in real-world situations
- Describe the different roles in retail customer service
No prior experience in customer service is necessary to be successful in this course. This course presents the different customer interactions that happen in a retail setting and allows you to experience real interactions through simulations and scenarios. Interactions examined include in-person, on the phone, or through social media. In addition, you will take your knowledge into the community to observe and evaluate interactions at any business that provides customer service. You will rate interactions by distinguishing between successful interactions and interactions that need improvement interactions as each type of interaction is presented. By the end of the course, you will be able to:
- Create positive interactions with customers
- De-escalate conflict with customers
- Process retail transactions in real-world situations
- Describe the different roles in retail customer service
To be successful in this course, it is recommended that you complete the first course in this program. The Call Center Customer Service course requires a practical skill set of data entry and organization of information/resources. In addition, communicating with only the voice uses a wide range of communication skills. This course will provide you with practical experience in data entry and customer privacy, and the opportunity to evaluate sample interactions between a call center customer service representative and a customer. You will also have the opportunity to respond to sample calls where you can demonstrate great customer service. -By the end of the course, you will be able to:
-Create positive interactions with customers
-De-escalate conflict with customers
-Create solutions to customer problems
-Describe the different roles in call center customer service
To be successful in this course, it is recommended that you complete the two courses in this program. Demonstrate Excellent Customer Service provides resume and social media presence guidance to learners looking for a career in customer service. This allows you to optimize your resume for a customer service position and be prepared for your first interview. In addition, you will apply your knowledge gained over the previous courses in the program to a hands-on project that allows you to demonstrate the skills you’ve learned in each course. -By the end of the course, you will be able to:
-Create positive interactions with customers
-De-escalate conflict with customers
-Create solutions to customer problems
-Describe the different roles in call center customer service
To be successful in this course, it is recommended that you complete the first four courses in this program. 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 | 2 months (at 10 hours a week) | https://www.coursera.org/professional-certificates/cvshealth-call-center-customer-service | null |
41 | Introduction to Data Engineering on Google Cloud | Enrollment number not found | Rating not found | null | Google Cloud Training | Google Cloud | [] | In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges. This section welcomes you to the Introduction to Data Engineering on Google Cloud course, and provides an overview of the course structure and goals. 1 video This module provides an introduction to the role of a data engineer. It covers key concepts such as data sources and sinks, data formats, storage options on Google Cloud, metadata management, and the use of Analytics Hub for data sharing within and outside an organization. 9 videos1 assignment1 app item This module provides an overview of data replication and migration on Google Cloud. It covers the basic architecture, the 'gcloud' command-line tool, Storage Transfer Service, Transfer Appliance, and Datastream, along with their functionalities and use cases. 6 videos1 assignment1 app item This module focuses on data extraction and loading processes on Google Cloud, particularly with BigQuery. It covers the basic extraction and loading architecture, the bq command-line tool, BigQuery Data Transfer Service, and BigLake as an alternative to traditional extract-load patterns. 6 videos1 assignment1 app item This module provides an overview of ELT (extract, load, transform) processes on Google Cloud. It covers the basic ELT architecture, a common ELT pipeline example, BigQuery's capabilities for scripting and scheduling SQL, and the functionality and use cases of Dataform. 5 videos1 assignment1 app item This module provides an overview of ETL (extract, transform, load) processes on Google Cloud. It covers the basic ETL architecture, GUI tools, batch and streaming data processing options (Dataproc, Dataproc Serverless), and the role of Bigtable in data pipelines. 8 videos1 assignment2 app items This module focuses on automation patterns and options for pipelines on Google Cloud. It covers various tools and services like Cloud Scheduler, Workflows, Cloud Composer, Cloud Run functions, and Eventarc, along with their functionalities and use cases for automation. 7 videos1 assignment1 app item In this final section, we review what was presented in this course and discuss the next steps to continue your cloud learning journey. 1 video1 reading | 8 modules | Beginner level | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/introduction-to-data-engineering-on-google-cloud | null |
42 | Bridge Infrastructure Design Specialization | Enrollment number not found | Rating not found | null | Subject Matter Expert | L&T EduTech | ["Analyze bridges using hand computation methods (Pigeaud's, Courbon's) and grillage analysis for different bridge types."] | Dreaming of bringing majestic bridges to life? This L&T EduTech specialization equips learners with the knowledge and tools to transform that dream into reality. Master bridge design principles, analyze loads, and ensure bridge safety and functionality throughout its entire lifecycle – from initial planning and construction to ongoing monitoring and maintenance. With this comprehensive specialization, learners gain the expertise to contribute to all stages of a bridge's journey, shaping the future of infrastructure and connecting communities across the globe. This first course ‘Conceptual Planning of bridges’ dives into the various bridge types, history of bridge design, planning stages, site surveys and investigations, and aesthetics. The second course ‘Bridge Deck Analysis’ probes into analyzing the forces acting on the deck, various analysis techniques, including hand computation methods, alongside grillage analysis software for different bridge types. Also introduces the Finite Element Method (FEM) analysis, a powerful tool for complex bridge structures. The third course ‘Foundation Systems, Monitoring and Erection Methods’ explores different foundation systems, design process for pile foundations, construction stage monitoring and sensor installation techniques, and finally, explore various erection methods used for bridge construction. Applied Learning Project Learners will develop skills to design and analyze simply supported bridge decks, adhering to IRC code requirements and industry standards. The course includes practical applications and real-world inputs, ensuring learners are prepared to meet professional demands. This bridge engineering course equips you to transform bridge concepts into reality. It explores bridge types and their suitability for various applications. You'll delve into bridge history, appreciating how past designs influence modern practices. The course emphasizes the roles of bridge components: the superstructure and the substructure in ensuring stability and functionality. Moving forward, you'll explore conceptual bridge design. This involves analyzing the landscape where the bridge will be built, considering factors like soil conditions, traffic flow, and environmental impact. Conducting thorough investigations is crucial to ensure the bridge can withstand the elements. The course also explores how aesthetics play a role in bridge design.
Bridges are designed to endure various forces. The course explores design considerations for dead load, live load, wind, temperature changes, water currents, and even potential accidents. By the end, you'll be able to design bridges strong enough to handle these forces.
The final leg of the course delves into the engineering calculations that ensure a bridge's structural integrity. You'll be introduced to analysis methods like traditional hand calculations and advanced computer software. Techniques like grillage analysis will be explored. This equips you to analyze and design bridges that can withstand everyday use.
By completing this course, you'll gain a comprehensive understanding of the entire bridge-building process, from concept to analysis. This knowledge is valuable for careers in bridge engineering, construction, or any field where understanding structures is important. The course equips you to be the architect of a bridge's most crucial component: the superstructure. You'll learn the intricacies of designing these materials for bridge decks, considering their properties, behavior under load, and techniques like prestressing to enhance performance. The course delves into design philosophies, comparing traditional methods with modern limit state design to ensure bridges meet all safety requirements. But a bridge deck is more than just concrete. From designing box culverts that ensure proper drainage under the bridge to selecting appropriate retaining walls based on site conditions, you'll gain the knowledge to keep the bridge functional. The course even ventures into innovative solutions like seismic isolation devices to safeguard bridges during earthquakes.
Beam and slab superstructures are a major focus. You'll master a step-by-step process to analyze and design them. This includes idealizing the bridge deck for analysis, calculating properties of beams within the deck, and accurately determining the design loads the bridge will encounter. The course emphasizes designing for both ultimate and serviceability limit states. This ensures the bridge can withstand various stresses without failure and functions well under everyday use.
Steel and steel composite bridges come into play later. You'll gain knowledge of key design codes and different steel bridge configurations like trusses. Steel composite girders, which combine steel and concrete for enhanced performance, will be a key area of study. You'll learn to model these composite structures and design them for critical factors like flexure, shear, and fatigue, ensuring their long-term performance.
By completing this course, you'll transform from a bridge deck novice to a confident designer. We delve into the substructure, the crucial support system holding the bridge deck. You'll learn to design piers, the pillars taking the bridge's weight, and abutments providing support at the ends. Analyzing forces acting on these structures and designing them for strength and stability, even during earthquakes, is a key focus. Different pier designs and bearing systems that transfer the bridge's weight to the ground will be explored. Moving underground, you'll tackle foundation engineering - the bridge's cornerstone. We explore different foundation types, from shallow ones for good soil conditions to deep pile foundations for weak soils or heavy bridges. Understanding how soil properties influence the foundation design is crucial. The course equips you to design pile foundations, including selecting the right type, analyzing their load capacity, and ensuring their stability under varying conditions. Well foundations, suitable for deep water or weak soil, will also be covered.
But building a bridge isn't just about initial construction. This course emphasizes the importance of monitoring and maintaining bridges throughout their lifespan. You'll learn how engineers use various methods to keep an eye on bridges during construction to identify and address potential issues early on. This includes installing sensors to track the bridge's behavior after construction, allowing for data-driven maintenance decisions. The course covers periodic inspections using visual and specialized techniques to detect problems. You'll learn about routine maintenance tasks like replacing bearings and expansion joints, crucial for ensuring the bridge's long-term functionality. Even bridge widening to accommodate changing traffic needs will be explored.
Finally, the course culminates with a fascinating look at bridge construction through real-world case studies. You'll explore how different bridge types are brought to life, from pre-stressed concrete to awe-inspiring cable-stayed bridges. Examining specific construction methods used for each type, such as segmental construction and the impressive balanced cantilever method for achieving large spans, will give you insights into the engineering ingenuity behind these marvels of modern infrastructure.
By completing this course, you'll gain a comprehensive understanding of the unseen but critical world that supports bridges. This knowledge is valuable for a career in bridge engineering, construction, or any field where understanding foundations and construction methods is important. | 3 course series | Advanced level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/bridge-infrastructure-design | null |
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