192.103 Fundamentals of Data Analysis and Visualization
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020W, VU, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • LectureTube course
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to...

  • explain the central concepts in data science.

  • explain the different parts of a data analysis process..

  • explain selected data analysis methods and apply them in a python environment

  • explain the crucial aspects for acurate data visualisations.

  • interpret ans explain different typs of plots.

  • select the right type of plot for concrete applications,.

Subject of course

We wil address the following aspects of datenanalysis and visualisation via selected topics:

  • Central terms in the context of data analysis & visualisation

  • The Datenanalysis Process

  • Data Wrangling

  • Exploring Data

  • Supervised Learning

  • Unsupervised Learning

  • Accurate Visualisation of Data

Teaching methods

The course contains classroom lectures and exercises.
Exercises include the application of data analysis techniques with Python.

Mode of examination


Additional information

Vorbesprechung: Di 06.10.2020 19:15 Uhr über Zoom (Link in TUWEL)

Alle weiteren Vorlesungseinheiten im WS2020/21 werden vorab aufgezeichnet und über tuwel/LectureTube bereitgestellt.

Contact: dav@dbai.tuwien.ac.at



Course dates

Tue19:15 - 20:1506.10.2020 Zoom link wird ueber den tuwel Kurs bereitgestellt (LIVE)Vorbesprechung (Zoom)

Examination modalities

The grading is based on

  • number and evaluation of solved exercises
  • grading of the test

Course registration

Begin End Deregistration end
12.09.2020 00:00 16.10.2020 23:59 16.10.2020 23:59

Registration modalities

This course is exclusively for students of the program 045 006 "Digital Skills". Registrations with a different code unfortunately will be rejected.

Please also note that you have to successfully finished both, the STEOP in your main program and the course  "Foundations fo programming and algorithms".


The student must have at least 1 of the course(s) completed listed below:


Study CodeObligationSemesterPrecon.Info
045 006 Digital Skills MandatorySTEOP
Course requires the completion of the introductory and orientation phase


No lecture notes are available.

Previous knowledge

Python Programming

Preceding courses