Beginning Data Science with R

The target audience for this book is non-R programmers and non-statisticians. if you want to get started with R and/or new statistical procedures have a look at this book. It can be quite helpful. (David E. Booth, Technometrics, Vol. 58 (2), 2016)

This book is written for coders who already know how to code to learn R for data science. The book covers how to install and use R . This is a good book to get you stated coding in R for data science. (Mary Anne, Cats and Dogs with Data, maryannedata. com, May, 2015)

A comprehensive, yet short tutorial on practical application of R to the modern data science tasks or projects. Who I recommend it to: managers who work on data projects, technical team leaders, CS students, Business Intelligence professionals, beginner architects, general computer academia, statisticians, several categories of scientistsor researchers as biologists, lab, criminologists, and also Finance pros or actuarials. (Compudicted, compudicted. wordpress. com, February, 2015)