Course Description

This short course is designed for explain the practical applications and use of R and R Studio (an integrated development environment, IDE, for R) effectively in the shortest possible time. It provides a solid conceptual understanding of both how R works and how to produce effective results.

R is a programming language and environment commonly used in statistical computing, data analytics and scientific research. It is one of the most popular languages used by statisticians, data analysts, researchers and marketers to retrieve, clean, analyze, visualize and present data. Its use is near universal when developers and administrators are looking to do analysis of data.

RStudio is an integrated development environment (IDE) for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.

R comprises:

1. The R programming language, designed specifically for working with statistical analysis and data analysis;
2. The R environment, designed for effective handling and storage of large data sets; and
3. A massive on-line repository of R packages which cover advanced statistical modeling, machine learning, data visualization and data manipulation tools, as well as packages that support analyses in specific domains such bio-statistics, financial modeling, population studies and computational physics.