Summary - Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. - Purchase of the print book includes a free eBook in PDF, Kindle, and e - Pub formats from Manning Publications. - About the Book - Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day data science tasks without a lot of academic theory or advanced mathematics. - 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. - What's Inside - Data science for the business professional - Statistical analysis using the R language - Numerous instantly familiar use cases - Keys to effective data presentations - About the Authors - Nina Zumel and John Mount are cofounders of a San Francisco-based data science consulting firm. Both hold Ph - Table of Contents - PART 1 INTRODUCTION TO DATA SCIENCEThe data science process - Loading data into RExploring data - Managing data - PART 2 MODELING METHODSChoosing and evaluating models - Memorization methods - Linear and logistic regression - Unsupervised methods - Exploring advanced methods - PART 3 DELIVERING RESULTSDocumentation and deployment - Producing effective presentations