Course Information


Welcome! This is the course website for the courses ADS: Applied Data Analysis and Visualization (201900027; part of the Utrecht University wide minor Applied data science), and Applied Data Analysis and visualization 1 for Economists (ECB2ADAVE; part of the minor Applied data science for Economists). These courses will be taught in parallel. When content is course specific, it will be mentioned explicitly.

Please note: that this year, this course is a digital course. For more information on the digital teaching used, please read the Digital Teaching tab.

During this course, you will actively learn how to apply the main statistical methods in data analysis and how to use machine learning algorithms and visualizing techniques. The course has a strongly practical, hands-on focus: rather than focusing on the mathematics and background of the discussed techniques, you will gain hands on experience in using them on real data during the course and interpreting the results. This course covers both classical and modern topics in data analysis and visualization.


Part of the course material is based on the course “Data Analysis and Visualization” (academic master level), developed by Daniel Oberski, Peter van der Heijden, Erik-Jan van Kesteren, Ayoub Bagheri and Maarten Cruyff.

This website was developed in collaboration with Thomas Wise.