Practical Data Science with R, Second Edition
Nina Zumel and John Mount
Foreword by Jeremy Howard and Rachel Thomas
  • November 2019
  • ISBN 9781617295874
  • 568 pages
  • printed in black & white
free previous edition eBook included
An eBook copy of the previous edition of this book is included at no additional cost. It will be automatically added to your Manning Bookshelf within 24 hours of purchase.

Full of useful shared experience and practical advice. Highly recommended.

From the Foreword by Jeremy Howard and Rachel Thomas

Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.

About the Technology

Evidence-based decisions are crucial to success. Applying the right data analysis techniques to your carefully curated business data helps you make accurate predictions, identify trends, and spot trouble in advance. The R data analysis platform provides the tools you need to tackle day-to-day data analysis and machine learning tasks efficiently and effectively.

About the book

Practical Data Science with R, Second Edition is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you’ll face on the job, this friendly guide is comfortable both for business analysts and data scientists. Because data is only useful if it can be understood, you’ll also find fantastic tips for organizing and presenting data in tables, as well as snappy visualizations.

What's inside

  • Statistical analysis for business pros
  • Effective data presentation
  • The most useful R tools
  • Interpreting complicated predictive models

About the reader

You’ll need to be comfortable with basic statistics and have an introductory knowledge of R or another high-level programming language.

About the author

Nina Zumel and John Mount founded a San Francisco–based data science consulting firm. Both hold PhDs from Carnegie Mellon University and blog on statistics, probability, and computer science.


placing your order...

Don't refresh or navigate away from the page.
print book $49.99 pBook + eBook + liveBook
includes previous edition eBook
Additional shipping charges may apply
Practical Data Science with R, Second Edition (print book) added to cart
continue shopping
go to cart

eBook $39.99 3 formats + liveBook
includes previous edition eBook
Practical Data Science with R, Second Edition (eBook) added to cart
continue shopping
go to cart

Prices displayed in rupees will be charged in USD when you check out.
customers also bought
customers also reading

This book

FREE domestic shipping on three or more pBooks

RECENTLY VIEWED