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Statistics using R



Course format On-site
Date 2020-08-31 - 2020-12-18

Course Description:

The course is divided in to three main components.

  • A – Introduction to the statistics in R and R-studio. The basic functions in R, how to import and manipulate data. Visual presentation of data.
  • B – Review of basic statistical concepts, hypothesis testing, different types of variables. Statistical tests for continuous and discrete variables. Using R for statistical analysis and tests for the validity of assumptions of the tests.
  • C – Practical application of statistics in graduate student projects. Each students plans statistical analysis in his/her project, identifies suitable statistical tests and present to the group for discussion. methods.

Learning outcomes

Upon completing the course, the students should

  • know how to use R either in R studio or directly through script fields
  • be able to summarise and display data visually
  • be familiar with common statistical tests for discrete and continuous variables
  • understand the assumptions for the above statistical tests and know how to test for them
  • be able to independently analyse data from their graduate work.


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