R for Data Science

Wickham and Grolemund

Learn how to use R to turn raw data into insight, knowledge and understanding. This book introduces you to R, RStudio and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. 
Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring and modeling your data and communicating the results. Youíll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what youíve learned along the way. 
Youíll learn how to: 

Wrangle – transform your datasets into a form convenient for analysis 
Program – learn powerful R tools for solving data problems with greater clarity and ease 
Explore – examine your data, generate hypotheses and quickly test them 
Model – provide a low-dimensional summary that captures true “signals” in your dataset 
Communicate – learn R Markdown for integrating prose, code and results

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.