Explanatory Data Analysis group


16-17, 17-18
BSc, 6 EC
Part of
Computer Science, Computer Science & Biology, Computer Science & Economy, minor Data Science
Matthijs van Leeuwen
Hugo Manuel Proença, Sander van Rijn
For students
All material, including slides and exercises, and announcements will be communicated through Blackboard.

In this course, primarily aimed at Computer Science students, we cover the basics of statistics, the fundamental 'data science' that researches the description and analysis of data. The focus is on learning how to correctly apply statistical methods, not on their mathematical justification.

The following provides a high-level overview of the lectures of the course:

  1. Introduction
  2. Data and probability
  3. Descriptive statistics
  4. Random variables and probability distributions
  5. Discussion on 1st assignment, more probability distributions
  6. Estimation
  7. Hypothesis testing
  8. Comparing two groups
  9. Assocations between categorical variables
  10. Regression and correlation
  11. Multiple regression and correlation
  12. Advanced topics
  13. Analyse the analysis, Q&A

Statistical Methods for the Social Sciences, Alan Agresti and Barbara Finlay, Fourth Edition, Pearson Education, IBSN 0-13-713150-X (hardcopy is mandatory if you want to use it during the open book exam)