A Hands-On Introduction to Data Science with R

Chirag Shah is Professor of Information and Computer Science at University of Washington (UW) in Seattle. He is the Founding Director for InfoSeeking Lab and Founding Co-Director of the Center for Responsibility in AI Systems & Experiences (RAISE). His research focuses on building, auditing, and correcting intelligent information access systems. Dr. Shah is a Distinguished Member of ACM as well as ASIS&T, and a Senior Member of IEEE. He has published nearly 200 peer-reviewed articles and authored several books, including textbooks on data science and machine learning. He regularly engages with industrial research labs at Amazon, ByteDance, Microsoft Research, and Spotify.

• Part I. Conceptual Introductions: 1. Introduction; 2. Data; Part II. Tools for Data Science: 3. Techniques; 4. Introduction to R; 5. R for Statistical Analysis; 6. Cloud Computing; Part III. Machine Learning for Data Science: 7. Machine Learning Introduction and Regression; 8. Supervised Learning; 9. Unsupervised Learning; Part IV. Applications, Evaluations, and Methods: 10. Data Collection, Experimentation, and Evaluation; 11. Hands-On with Solving Data Problems.

'Dr. Chirag Shah's A Hands-On Introduction to Data Science with R is an essential addition to any aspiring or practicing data scientist's library. He masterfully breaks down complex quantitative ideas into clear, digestible explanations, hitting the perfect balance of detail without being overwhelming. What truly sets this book apart are the practical R exercises. They are seamlessly woven into the text, transforming abstract concepts into tangible skills. This isn't just a book you read; it's a book you do. It delivers on its promise of a hands-on introduction, making it an invaluable resource for students taking their first steps and professionals looking for a practical refresher.' Bhupesh Shetty, Drexel University