We use cookies to ensure you have the best browsing experience on our website. Please read our cookie policy for more information about how we use cookies.
  1. Skills Directory
  2. R
R

R

Basic
Get Certificate

R is a software environment for statistical computing and graphics. R is commonly used for Data Analysis, Statistical Computing, Machine Learning algorithms & scientific research. 

This competency area includes fundamentals of the R programming language, understanding Data Frames, Packages, and Data Reshaping, using Data interfaces, among others.

Key Competencies:

  1. Explore the basics - Fundamentals of R programming language (strings, vectors, lists, factors, etc).

  2. Understanding Data Frames, Packages, and Data Reshaping - Data frames are tables or a two-dimensional array-like structure in which each column contains values of one variable and each row contains one set of values from each column. Understand the usage of storing data tables - a list of vectors of equal length, packages, and reshaping data in R. 

  3. Using Data interfaces (CSV, JSON, XML, and other files) - R can read and write into various file formats like CSV, Excel, XML, etc. R allows us to read data from files stored outside the R environment. It supports writing data into files that can be stored. Explore the usage of data interfaces. 

  4. Statistical analysis tool - Learn and use Statistical concepts in R (Regression, Distribution, etc).