R Programming: Simply In Depth

Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. The goal of "R for Data Science" is to help you learn the most important tools in R that will allow you to do data science. After reading this book, you'll have the tools to tackle a wide variety of data science challenges, using the best parts of R.

This book will teach you how to program in R. You'll go from loading data to writing your own functions (which will outperform the functions of other R users). This is an understandable approach to learning R. Visualizing and modeling data are complicated skills that require a programmer's full attention. It takes expertise, judgement, and focus to extract reliable insights from a data set.

This book proudly focuses on small, in-memory datasets. This is the right place to start because you can't tackle big data unless you have experience with small data. I think R is a great place to start your data science journey because it is an environment designed from the ground up to support data science. R is not just a programming language, but it is also an interactive environment for doing data science.

Simply In Depth....