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
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.
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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.
