R programming is about 70% widely used tool from among all the Data analytics tools and languages because it is an open source free software easily extendable with lots of packages.
Due to these reasons R Programming is an important skill acquired in the Data Science field of study.
Importance of R cannot be limited in words, so here we tried to consolidate the resources to learning R. Here you will find lists of Books, MOOCs ,tutorials and much more to learn R.
There are lot of books has written on R. R is worthwhile in variety of fields(Data Science, Business Analytics, Social media and so on) , so here I tried to categorized books for R according to different usability of R.
This book examines R language using simple statistical examples, showing how R operates in a user-friendly context. This book is useful for learning simple summary statistics , hypothesis testing, creating Graph, regression , and much more . It covers formula notation, complex statistics, manipulating data and extracting components and rudimentary programming.
This books guide you from the basics( how to set up your numerical programming environment) to advance level of data science pipeline( introduce you to data science iterative process of project completion).After leraning this book will able to implement data science algorithms in both R and Python.
If you are an experienced programmer interested in crunching data this book will get you started with machine learning – a toolkit of algorithms that enables computers to train themselves to automate useful tasks.
Using R programming, you will learn how to analyze sample dataset and write simple codes for machine learning algorithms. Machine learning for hackers is ideal for programmers from any background, including business, government, and academics research.
This book covers the basics of R by setting up a user-friendly programming environment and performing data ETL in You will then dive into important machine learning topics including data classification, regression, clustering, association rule mining, and dimension reduction.
This book provides detailed instructions on how to obtain, process and analyze a variety of socially-generated data while providing a theoretical back ground to help you accurately interpret your findings.
Here is the complete play list. This tutorial will cover how to use statistical software R.
Are you so busy that you don’t have time to learn from all these?
In this case I suggest please download some application from Google play to start with R:
Like App called ‘R Programming‘ in Google Play Store will help you in learning R with Application.
There are various way to getting started with R. Best way to learn R is buy one R book and follow MOOC or follow online tutorials etc. whatever you want but there has to be a book with you to learn more things, so start learning concept from any resources and once you done with it then follow the book to gain more knowledge.
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