Welcome to the Data Science blended learning portal for Humanities and Social Sciences students. This portal provides teachers and students with a collection of freely available educational material to set up or expand their introductory data science course or MOOC. The material is targeted at non-technical students. Students acquire their data science skills by means of (elementary) Python scripts, through a visual interactive interface for data mining called Orange, or by means of WEKA. The portal contains the following components.

  • Six video lectures introducing data science (about 1 hour each)
  • Video testimonials of data scientists working in various domains
  • Video tutorials for Orange
  • Video tutorials for WEKA
  • Lecture slides for a gentle introduction to data science based on Orange or WEKA
  • Hands-on exercises for practising data-science skills in Orange or WEKA
  • Study material for acquiring basic Python skills
  • Datasets commonly used in introductory data science courses

All our material can be freely used under the Creative Commons licence CC BY-SA, except for external material to which this portal provides links.


Marie Nilsenová (Cognitive Science & AI, Tilburg University)

Evert van de Vrie (Open Universiteit)

Chris Emmery (Cognitive Science & AI, Tilburg University)

Eric Postma (Cognitive Science & AI, Tilburg University)

Pieter Spronck (Cognitive Science & AI, Tilburg University)


The development of this portal was made possible by SURF.