Practical Data Science with R

Nina Zumel, John Mount

ISBN: 9789351194378

416 pages

Description

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.

About the Author

Nina Zumel and John Mount are cofounders of a San Francisco-based data science consulting

Table of Contents

Part 1 Introduction to data science

· The data science process

· Loading data into R

· Exploring data

· Managing data

Part 2 Modeling methods

· Choosing and evaluating models

· Memorization methods

· Linear and logistic regression

· Unsupervised methods

· Exploring advanced methods

Part 3 Delivering results

· Documentation and deployment

· Producing effective presentations