A Hands-On Introduction to Data Science with R
Format:Paperback
Publisher:Cambridge University Press
Published:22nd Jan '26
Currently unavailable, and unfortunately no date known when it will be back
A hands-on textbook for introductory data science courses that use R.
Develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with an exclusive focus on the popular data science tool R. The book includes many examples of real-life applications, with practice ranging from small to big data.Students will develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with numerous exercises and examples in the popular data science tool R, a new chapter on using R for statistical analysis, and a new chapter that demonstrates how to use R within a range of cloud platforms. The many practice examples, drawn from real-life applications, range from small to big data and come to life in a new end-to-end project in Chapter 11. New 'Data Science in Practice' boxes highlight how concepts introduced work within an industry context and many chapters include new sections on AI and Generative AI. A suite of online material for instructors provides a strong supplement to the book, including lecture slides, solutions, additional assessment material and curriculum suggestions. Datasets and code are available for students online. This entry-level textbook is ideal for readers from a range of disciplines wishing to build a practical, working knowledge of data science.
'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 Kent
Praise 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
ISBN: 9781009589055
Dimensions: 254mm x 203mm x 21mm
Weight: 970g
406 pages
2nd Revised edition