# New Book: Practical Data Science with R

This new book will help you learn and apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.

**Practical Data Science with R**

**By Nina Zumel and John Mount**

March 2014 | 416 pages

ISBN: 9781617291562

March 2014 | 416 pages

ISBN: 9781617291562

Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence, and decision support, it shows you how to design experiments (such as A/B tests), build predictive models, and present results to audiences of all levels. This book is accessible to readers without a background in data science. Some familiarity with basic statistics, R, or another scripting language is assumed.

Save 42% on Practical Data Science with R with Promotional code

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**WHAT'S INSIDE**

- Data science for the business professional
- Statistical analysis using the R language
- Project lifecycle, from planning to delivery
- Numerous instantly familiar use cases
- Keys to effective data presentations

**ABOUT THE AUTHORS**

**Nina Zumel**and

**John Mount**are co-founders of a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science at win-vector.com.