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.