Introduction to Statistics with R

Estimated cost: R5001 – R10 000
Field Of Study: Statistics
Department Name: School for Data Science and Computational Thinking


This course offers an introduction in the application of the programming language R to statistical analysis. R is statistical software particularly powerful in data analysis and graphical representation. The following aspects of the software programme will be taught in the course:
- Introduction to the software package R and the user interface RStudio.
- R Data Structures.
- Importing and saving data in R.
- Data manipulation.
- Writing R functions.
- R base graphics and introducing the popular graphics package ggplot2.
- Basic descriptive analyses in R.
- Applied statistics in R. This will include statistical measures, statistical inference in t-tests and regression analysis; and introducing ANOVA.

Entry Requirement: Professional 4-year Bachelor’s degree /Bachelor Honours degree or Equivalent Qualification
Certificate Type: Attendance
Delivery Mode: Blended
Duration: 1 week
Presentation Language: English
Contact Person Name: AN Galhenage
Contact Person Email:
Latest Year Offered: 2020