This 4-day elementary course illustrates the basic principles of statistical data-analysis in a non-mathematical way. Each lesson is a combination of theoretical introductions and hands-on computer practicals using SPSS and R.

The course is offered in-class.

Course contents

Part 1: Underlying concepts of statistics

  • Types of variables 
  • Descriptive statistics
  • Normal distribution 
  • Parameter estimation

Part 2: Hypothesis testing

  • Principles of a hypothesis test
  • Type 1 and Type 2 error
  • Power analysis and sample size calculation
  • Parametric and non-parametric testing
  • t-test, anova and non-parametric alternatives
  • Chi-square test 
  • Simple linear regression

Target audience / prerequisites

Pre-and postdoctoral students from all fields of research.

No previous experience with SPSS, R or statistical techniques is required.




PhD student ADS
€ 100
€ 175
Academic non-UA
€ 270
Nonprofit/public sector
€ 350
Private sector
€ 500


Course structure and time schedule

This 4-day course will take place in February 2024, in Campus Groenenborger, room Z.446 

February 12 from 9.30 am till 4.30pm.

February 13 from 9.30 am till 4.30pm.

February 14 from 9.30 am till 4.30pm.

February 15 from 9.30 am till 4.30pm.