VU Visual Data Science

VU Visual Data Science WS 3.0 ECTS, 186.868

Johanna Schmidt


Thank you for your participation!


The VU Visual Data Science discusses how techniques from visualisation and visual analytics can be applied to data science. The lecture part always starts with a theoretical introduction to visualisation and visual analytics. Afterwards current visualisation solutions for data science are introduced, and current software libraries and applications will be discussed. There is also a possibility to analyze your own data.

Lab Results

Lab results from the previous semester:

Part 1

-- Lab Part 1 Results --

Part 2

-- Lab Part 2 Results --


The grade of the lecture is defined by how many points participants earned during the lecture. There will be no final exam at the end.
Grades are defined as follows:
Sehr Gut (1) > 85 points
Gut (2) > 75 points
Befriedigend (3) > 62 points
Genügend (4) > 50 points
Nicht Genügend (5) <= 50 points
Points can be earned based on the following scheme:
Attendance of the lecture 3 points / lecture
Lab Part 1 30 points
Lab Part 2 50 points
Extra (bonus) task 10 points