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.

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 or statistical techniques is required.




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

How to pay for a StatUa course


Course structure and time schedule

This 4-day course will take place in November-December 2022, each day from 10am till 4.30pm.

  • November 28, PC room M309, building M, campus CDE
  • November 30, PC room Z422, building Z, campus CGB
  • December 1, PC room Z445, building Z, campus CGB **9.30am-4.00pm**
  • December 6, PC room Z446, building Z, campus CGB

All rooms are equipped with a desktop PC with SPSS installed. There is no need to bring your own laptop.