R is a programming language and free software environment for statistical computing and graphics. R and its libraries implement various statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, spatial and time-series analysis, classification, clustering, and others.

R is easily extensible through functions and extensions, and the R community is noted for its active contributions in terms of packages

It has a command line interface and a bit of a learning curve, but once you get past that you can easily handle large datasets.

How to install?

You can download the R Programming Language from the link below

Download the R language

R Studio download link

Download the RStudio IDE – RStudio


You can try the following video courses to begin and further your understanding of the R

* ProTip – you can complete a few of these courses for free using the one month free trial of LinkedIn Learning 

Learning R

Descriptive Healthcare Analytics in R

Healthcare Analytics: Regression in R

If you would rather read than watch video courses, you can try the following website

Learn R Programming

Communities/ Discussion Forums

You can try to discuss your doubts in our Discussion Forum

DSM – R Discussion Forum 

If you have are unable to find suitable answers to your queries/ doubts in our discussion forum, you can try the Global R Studio Community

R Studio Community