R is a programming language and free software developed by Ross Ihaka and Robert Gentleman in 1993. R possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few. Most of the R libraries are written in R, but for heavy computational tasks, C, C++ and Fortran codes are preferred.

R is not only entrusted by academic, but many large companies also use R programming language, including Uber, Google, Airbnb, Facebook and so on.

Data analysis with R is done in a series of steps; programming, transforming, discovering, modeling and communicate the results

Course highlights:
– Introduction to R Programming
– Variable types and Data structures in base R
– Data-frame manipulation
– Exploratory data analysis
– Graphics in R
– Inferential statistics
– Econometric Analysis
– General Linear Regression Models in R
and much more.