A Hands-On Introduction to Data Science with R

‘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‘This updated text again strikes the perfect balance between theory and practice. I appreciate how it offers two distinct editions, allowing readers to choose Python or R as their programming language. The examples feel fresh, the code is practical, and the explanations connect beautifully with real-world data work.’ Zhen Zhu, University of KentPraise for the first edition: ‘Dr. Shah has written a fabulous introduction to data science for a broad audience. His book offers many learning opportunities, including explanations of core principles, thought-provoking conceptual questions, and hands-on examples and exercises. It will help readers gain proficiency in this important area and quickly start deriving insights from data.’ Ryen W. White, Microsoft Research AI

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.