Introduction to Statistics

Course description

Requirements: Basic skills in programming with R (can be achieved in the course Introduction to R).

Your profit: This introductory course combines an overview of basic statistical methods with their application in the statistical software R. Participants will learn how to start with their data analysis and interpret their results in a meaningful way. This course does not require any previous knowledge of statistics.

Topics: The course covers basic statistical methods

  • Descriptive statistics
  • Hypothesis testing
  • Linear regression
  • Application of these methods using R

This is no introductory programming course. Basic programming skills in R are a prerequisite of this course and can be achieved with the course  Introduction to R.

Methods: Each day consists of blocks covering first the statistical theory behind the methods and their application in R, and then hands-on examples with best-practice solutions.
During the Corona-pandemic the course is held as an online course. Please consider the following constraints:

  • It will be held online via the software Zoom.
  • Please check beforehand on whether your computer is compatible with the tool. (No registration necessary, but you have to download some tools.)
  • A stable internet connection is absolutely necessary, optimal would be a LAN access.
  • You do NOT need to have a microphone or camera, since we offer a written chat interaction from your side. However, having a camera and a microphone is advantageous.

Duration: 4 Days

Language: English


  • Material for the course can be found here* (only for HMGU staff).
  • Please install the necessary R-packages prior to the course. The packages are listed in "Material_Statistics.html" which is part of the linked ZIP-folder.
  • Please be aware that the materials will be updated shortly before the next course.

Dates and Application: You can check the current dates and whether the courses are already fully booked here*.
Please apply via the forms of the HR Development department*.


 * Links marked with * are only available for HMGU staff.