News

All information about the lecture (Zoom links, slides, etc) will be published in TUWEL.
Please post all questions about the lecture in the TUWEL forum.

Content

The VU Visual Data Science will discuss how data scientists can apply visualization and Visual Analytics techniques in the data science workflow. The lecture will start with a theoretical introduction to visualization and Visual Analytics concepts. The second part of the lecture will deal with the practical application of Visual Data Science, namely the integration of visualization in the data science workflow, selection of charts, and a comparison of current applications and libraries. The lecture concludes with the late-breaking research topics of trust in visual interpretation and how to combine AI methods and visualization.

Lectures

Important information about the lectures:

• All lectures are hybrid.
• Hybrid lectures take place in a lecture room at the TU Wien.
• Lectures will be only 60min. The remaining 30min minutes will be dedicated to solving practical questions in TUWEL. This can be done either directly in the lecture room afterwards, or later on.

Important Dates

Submissions are done via TUWEL.

Every data science workflow consists of five stages: Discover, Wrangle, Profile, Model, and Report. The submission dates reflect these stages. The first submissions (Discover) on Nov 13th is mandatory to be enrolled to the lecture. A submission of this lab part will also mean that a certificate for this lecture will be issued. For submitting practical exams, the following deadlines apply:

Grading

The following points can be achieved in the lecture:

The points define the final grade: