Well-chosen graphics and summarization techniques are the key to success when studying large data sets with many variables. 

In this course, we outline the most common techniques to uncover structure in high-dimensional data. Lectures on theoretical background are illustrated using real-life examples and hands-on practical exercises in the software package R and JMP.

For this course, we offer the possibility to take an exam. For the PhD students in the faculties IOB and Applied Economics, this is a requirement to obtain a credits for these courses, but people from other faculties are allowed as well.
If you are interested in taking the exam, check the wants-to-take-exam-box in the registration form. Participating in the exam costs 10€, which is deduced automatically from your educational credit.

Course contents

  • Graphical representations, summary statistics and outlier detection
  • Principal Component Analysis and Factor Analysis
  • Correspondence Analysis
  • Cluster Analysis
  • Discriminant Analysis

Target audience / prerequisites

Pre- and post doctoral researchers who are already familiar with elementary statistical data analysis.

A little experience with R would be great. No previous experience wth JMP is required.

Computers are available in the classroom. Participants do not need to bring their own laptop.



PhD student UAntwerpen : € 50 

UA-affiliated : € 90

Academic non-UA : € 160

Publicand non-profit sector : € 250

Private sector : € 500

Time and place

March 11 -12- 13, 2024 in CDE.

  • March 11, 2024   room d.R.003 
  • March 12, 2024   room  d.R.019
  • March 13, 2024  room   d.R.019