R Programming

Learn R from the best R tutorials, including the most popular R online courses, videos, books, podcasts, and blogs.

learnR

If you are a finance student, I hope my blogs will help improve your ability of implementation. If you are a student with the background of computer science and want to do something in finance, I hope my blogs will make sense and offer much intuition.

R Programming for Data Science Training Course

Intellipaat R course lets you learn R programming language that is deployed for varied purposes like graphic representation, statistical analysis and reporting. With this Data Science certification course for R programming, you will be able to get a clear understanding of the core concepts like importing data in various formats for statistical computing, data manipulation, Business Analytics, Machine Learning algorithms and data visualization.

R Programming - Wikibooks

This book is designed to be a practical guide to the R programming language[1

The R Manuals

The following manuals for R were created on Debian Linux and may differ from the manuals for Mac or Windows on platform-specific pages, but most parts will be identical for all platforms.

Introduction to R Programming

Here I'd like to walk through my study notes with the most explicit step-by-step directions to introduce you to the world of R.

R Tidyverse

Explore the universe of tidyverse _ the most useful set of packages in the contemporary R language.

Introduction to R | Vertabelo

Discover the hottest programming language, and learn how to mine through data faster and more effectively. No IT background needed.

R Programming Software and Statistics Tutorials

How to use R Stats Software for beginners along with tutorials for the various concepts in statistics: A comprehensive set of tutorials for everyone!

Data Analysis with R by Facebook (Udacity)

Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set. Promoted by John Tukey, exploratory data analysis focuses on exploring data to understand the data's underlying structure and variables, to develop intuition about the data set, to consider how that data set came into existence, and to decide how it can be investigated with more formal statistical methods.

15 Page Tutorial for R

For Beginners in R, here is a 15 page example based tutorial that covers the basics of R.

Quick R

R is an elegant and comprehensive statistical and graphical programming language. Unfortunately, it can also have a steep learning curve. I created this website for both current R users, and experienced users of other statistical packages (e.g., SAS, SPSS, Stata) who would like to transition to R. My goal is to help you quickly access this language in your work.

R by example

R by example

Statistics and R in Life Science from Harvard University (edX)

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

Cookbook for R

Welcome to the Cookbook for R. The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data. My book about data visualization in R is available! The book covers many of the same topics as the Graphs and Data Manipulation sections of this website, but it goes into more depth and covers a broader range of techniques. You can preview it at Google Books.

Data Analysis and Visualization Using R

This is a course that combines video, HTML and interactive elements to teach the statistical programming language R.

Learn R Programming and Data Science Interactively

swirl teaches you R programming and data science interactively, at your own pace, and right in the R console!

R for Data Science

This is the website for �R for Data Science�. This book will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it.

Start here to learn R!

On R-exercises, you will find hundreds of exercises that will help you to learn R. We've bundled them into exercise sets, where each set covers a specific concept or function.

Polling for data in R

Instructor Mark Niemann-Ross begins by sharing a framework for understanding the different types of high-velocity data. He then covers how to use R to acquire high-velocity data, as well as how to leverage profiling tools and optimize R code for use with high-velocity data. He wraps up by exploring how to use R to present data, including how to use Shiny'an R package that allows you to build web apps straight from R'for interactive dashboards.

Advanced R

This book is my attempt to pass on what I've learned so that you can quickly become an effective R programmer.