Visual Data Science

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VU, 186.868, 2021W

Johanna Schmidt

Quicklinks

News

All information about the lecture (Zoom links, slides, etc) can be found on TUWEL.
Please post your questions about the lecture in the TUWEL forum.

Content

The VU Visual Data Science will discuss how techniques from visualisation and visual analytics can be applied to data science. The lecture will start with a theoretical introduction to different concepts of visualisation and visual analytics (lecture 1 & 2). The second part of the lecture (lecture 3-5) will deal with the practical application of Visual Data Science, namely the selection of charts, and trust in visualisations. An overview of current applications and libraries will be given (lecture 6-8). The lecture part then concludes with the late-breaking research topics of trust in visual interpretation (lecture 9) and how AI methods are used in visualisation (lecture 10).

Lecture Part

# Date Time Type Title
L1 06.10.2021 11:00 - 12:00 Online Meeting (Zoom) Introductory lecture ("Vorbesprechung") & Introduction to Data Visualisation
General information on the lecture & What is visualisation and visual analytics?
  13.10.2021 no lecture
L2 20.10.2021 available from 11:00 on Pre-recorded video Introduction to Visual Data Science I
Terms and concepts, data types, interdisciplinary approaches
L3 27.10.2021 available from 11:00 on Pre-recorded video Introduction to Visual Data Science II
Terms and concepts, data types, interdisciplinary approaches
L4 03.11.2021 11:00 - 12:00 Online Meeting (Zoom) Usage of Charts and Plots in Data Science
How to select the right chart based on the data?
L5 10.11.2021 available from 11:00 on Pre-recorded video Applications & Libraries I
Charting libraries
L6 17.11.2021 11:00 - 12:00 Online Meeting (Zoom) Applications & Libraries II
Applications
L7 24.11.2021 11:00 - 12:00 Online Meeting (Zoom) BI Tools
Getting to know Tableau, MS Power BI, and OmniSci
L8 01.12.2021 11:00 - 12:00 Online Meeting (Zoom) Trust in Visualisation
How to correctly interpret what we see?
  08.12.2021 no lecture
L9 15.12.2021 11:00 - 12:00 Online Meeting (Zoom) AI in Visualisation
Visualisation for understanding AI & Using AI for better visualisations

 

Lab Part

Lab organisation and submissions are done via TUWEL.

The lab part of the VU outlines the different stages of a data science workflow. Every data science workflow consists of five stages: Discover, Wrangle, Profile, Model & Report. We will work on all stages and see how visualization can be used in every stage (except Discover). The lab part has the following deadlines:

# Date & Time Description
D1 10.11.2021 23:59 Selection of topic & stage Discover finished - submission of short report (1 A4 page).
D2 17.12.2021 23:59 Stages Wrangle and Profile finished - submission of report (at least 3 A4 pages).
D3 18.01.2022 23:59 Stages Model and Report finished - submission of report (at least 3 A4 pages).
D4 19.01.2022 & 26.01.2021 Final presentations (with dashboard from Report stage).

 

Grading

The following points can be achieved in the lecture:

Interactive lecture part (TUWEL) 30 points
Discover 5 points
Wrangle 5 points
Wrangle (Bonus) 5 points
Profile 15 points
Model 10 points
Report 10 points
Report (Bonus) 10 points
Final presentation 10 points

The points define the final grade:

Sehr Gut (1) > 85 points
Gut (2) > 75 points
Befriedigend (3) > 62 points
Genügend (4) > 50 points
Nicht Genügend (5) <= 50 points