Practical Data Science with R

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.

Table of Contents

1. Part 1: Introduction to Data Science
   1. The data science process
   2. Loading data into R
   3. Exploring data
   4. Managing data
2. Part 2: Modeling Methods
   1. Choosing and evaluating models
   2. Memorization methods
   3. Linear and logistic regression
   4. Unsupervised methods
   5. Exploring advanced methods
3. Part 3: Delivering Results
   1. Documentation and deployment
   2. Producing effective presentations

Author Description

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