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A Hands-On Introduction to Data Science with R

Authors

, University of Washington
Published 2026

Description

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…

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Key features

  • Develop a practical understanding of data science by working through hands-on problems, exercises and examples using the popular R platform
  • Go from absolute beginner to working data scientist with 11 accessible chapters that assume no prior technical background
  • See how concepts are applied within an industry context with all new 'Data Science in Practice' boxes
  • Teach data science with end-to-end support, including curriculum suggestions, sample syllabi, lecture slides, datasets, additional assessment material and a solutions manual, available for registered instructors

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