R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

As usual from Wickham, book is excellent--very well written and very helpful.

This is a great reference guide for using R for basic (and some more advanced) data science tasks. It does a good job of capturing the basics and directing you to additional resources as needed.

The content detail, coupled with the understandability of the information being presented, makes this an incredibly valuable foundational textbook!! Bayesian concepts had been a little confusing and hard to inculcate but this book presented these essential concepts in a way that made it easy to grasp. This is a must have book for anyone looking to learn or deepen their understanding in Bayesian statistics.

Well written, covers a breadth of useful topics. Highly recommend if you use R already and want to learn more.

I used this for a data science course. A lot of great information and really helps when learning ggplot2.

I used this excellent resource in conjunction with my Google Data Analytics course!

I found the most effective way for me is to follow the online book step by step. I use Rstudio and run every code in the book. The paper version is good for reference but like any programming language, the best way to learn it is to take on a project and use what you learnt to solve it. I like the exercise section of the book.I have followed some linkedin course on R but I found this book more easy for me to follow because I got to copy and run every code on my own pace.

A good starting point for beginners learning data science with R.The explanations are clear, and the tidyverse approach is beginner-friendly.However, it doesn’t go deep into advanced topics or base R.Useful for learning the basics, but not enough for more complex analysis.