Analysis tool for big data

A series of R packages offer a robust environment for statistical computing with big data by using high-performance statistical computation. Statisticians and data miners continue to develop statistical software for the analysis and handling of big data.

Robust visualization library

With libraries like ggplot2, plotly that offer a wide range of aesthetic graphical options, R is most widely recognized for its stunning visualizations which gives it an edge over other Data Science programming languages.

Free & open source tool

R is an open-source language. It is maintained by a community of active users and you can avail R for free. You can modify various functions in R and make your own packages. Since R is issued under the General Public Licence (GNU), there are no restrictions on its usage.

Gateway to lucrative career

R language is used extensively in Data Science. Data Science field offers some of the highest-paying and available jobs in the world today.

Used in almost every industry

R is one of the most widely used programming languages in current use. It is used in almost every industry, ranging from finance, banking to medicine and manufacturing. R is used for portfolio management, risk analytics in finance and banking industries. It is used for carrying out an analysis of drug discovery and genomic analysis in bioinformatics. R is also used to implement various statistical measures to optimize industrial processes.

Friendly to learn

R Programming is supported by a vast community that maintains and updates R. Support of the community on places like Stack Overflow, R-bloggers and of you can always attend our very well customized courses for every user level right from absolute beginners.