instruction: how to get started with data science and machine learning?
output: To be a good data scientist, you need a solid understanding of statistics and machine learning algorithms like linear regression, logistic regression, and tree-based models. Knowledge and experiences with deep learning concepts are a big plus nowadays in the job market. In addition, business acumen and good communication skills can help you bridge the gap between technical and business stakeholders. Here are a few recommended study materials: Coursera course Machine Learning by DeepLearnin.AI; Introduction to Machine Learning with Python: A Guide for Data Scientists; Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. But most importantly, keep learning and start now!