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.
Related Resources
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