R for Data Science Garrett Grolemund, Hadley Wickham
Publisher: O'Reilly Media, Incorporated

Python and R are among the popular programming languages that a datascientist must know to pursue a lucrative career in data science. Use the R Programming Language to execute data science projects and become a data scientist. R remains popular with the PhDs of data science, but as data moves mainstream, Python is taking over. With this book, you'll gain a clear understanding of this discipline for discovering natural laws in the structure of data. The great team over at DataCamp, an online site for learning R , has put together another wonderful infographic. The path includes exercises, tutorials & best practices. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio. Learning path on R provides a step by step guide to become a data scientist using R. You may have heard that R and the big-data RevoScaleR package have been integrated with with SQL Server 2016 as SQL Server R Services. Fun video tutorials & coding challenges on R, Python, Statistics & More. Data Science in R Programming Training in 30 days. As this flowchart from Wikipedia illustrates, data science is about collecting, cleaning, analyzing and reporting data. Practical Data Science with R lives up to its name. One of the big points of Practical Data Science with R is to supply a large number of fully worked examples. Learn Data Science from the comfort of your browser, at your own pace.