GGS-Workshop: "Data Storytelling & Visualization"
- https://www.uni-giessen.de/de/fbz/zentren/ggs/veranstaltungen/index_html/wise25_26/data-vizu
- GGS-Workshop: "Data Storytelling & Visualization"
- 2026-02-18T09:00:00+01:00
- 2026-02-27T15:00:00+01:00
18.02.2026 09:00 bis 27.02.2026 15:00 (Europe/Berlin / UTC100)
Room 001, Licher Str. 68, 35394 Gießen
Doctoral candidates or postdoctoral researchers doing empirical research or intending to work as data scientists.
| Instructor: | Dr Tobias Keller | |
|
Dates: |
February 18 & 19, 9.00 am - 3.00 pm, |
|
| Max. participants: | 12 | |
| Course language: | English (German, if only German participants) | |
| Registration Deadline: | February 08, 2025 | |
| ECTS: | 4 |
Objectives
Effective data storytelling transforms analysis into understanding. In today’s research and business environments, valuable insights are often lost because analysts focus on numbers rather than the stories those numbers can tell. This course empowers participants to craft clear, engaging, and persuasive data stories that connect evidence with meaning. Drawing on principles from visual perception, design, and narrative structure, the course provides a foundation for transforming analytical results into compelling messages. Participants will explore best practices through real-world examples, gain hands-on experience with professional data analysis and visualization tools, and apply their skills in a group project that emphasizes communication, clarity, and storytelling impact.
Content & Methods
The course consists of lectures to build the theoretical background as well as hands-on tutorials and exercises using a professional visualization software, Tableau. Participants will learn by examples and exercises from the instructor’s experience in research and practice.
Hands-on tutorials and exercises will make up about 60 per cent of the course time. Participants will complete those using their own computers. Please see the preparation requirements below for a list of software programmes that need to be installed to that end. The exercises will be based on exemplary datasets that will be provided to the participants before the course.
More details can be found in the syllabus "Data Storytelling & Visualization".