| Dozent/in |
Charlotte Cabane, PhD |
| Veranstaltungsart |
Workshop |
| Code |
FS261074 |
| Semester |
Frühjahrssemester 2026 |
| Durchführender Fachbereich |
Wirtschaftswissenschaften |
| Studienstufe |
Master |
| Termin/e |
Do, 26.03.2026, 14:15 - 18:00 Uhr, Inseliquai 10 INE 220
Do, 02.04.2026, 14:15 - 18:00 Uhr, Inseliquai 10 INE 220
Do, 16.04.2026, 14:15 - 18:00 Uhr, Inseliquai 10 INE 220
Do, 07.05.2026, 14:15 - 18:00 Uhr, Inseliquai 10 INE 220
Do, 21.05.2026, 14:15 - 18:00 Uhr, Inseliquai 10 INE 220
Do, 28.05.2026, 14:15 - 18:00 Uhr, Inseliquai 10 INE 220 |
| Umfang |
2 Semesterwochenstunden |
| Turnus |
Bi-weekly |
| Inhalt |
One of the main challenges of a data scientist is to communicate practical implications of quantitative analyses in an approachable and stimulating way. Data visualization is an essential part of exploring and sharing insights of both small and large-scale data. The focus of this course is on data visualization best practice and storytelling. Students will learn how to best use visualization and narrative to convey clear insights. The course will be composed of theoretical sessions (presentation of the core principles of data visualization, for example), hands-on sessions as well as discussions (of the students‘ work, for examples). |
| Lernziele |
In this course, students will:
1. Learn the core principles of data visualization and storytelling
2. Build their own dashboard and storytelling on a question and data of their choice,
3. Develop critical judgment around data visualizations,
4. Work together: reflect on and discuss other groups' work, work in groups |
| Voraussetzungen |
1. Solid knowledge in data analysis: collect, clean, organize and analyze data
2. Willingness to actively participate and contribute to the class. |
| Sprache |
Englisch |
| Begrenzung |
Max. 20 participants
If the maximum number of participants is reached, students of the MA in Economics and Management will be given priority. In this case, please contact the wf@unilu.ch |
| Anmeldung |
Binding registration takes place via the UniPortal; see notes below in the «Proof of Performance» field.
For course information and materials, registration on the OLAT e-learning platform is required from 2 – 15 February 2026. The students themselves are responsible for verifying the course’s creditability towards their degree program.
Direct link to the OLAT course: to follow |
| Leistungsnachweis |
***IMPORTANT*** In order to acquire credits, and/or take the examination, registration via the Uni Portal between 2 - 15 February 2026 is MANDATORY. Further information on registration: www.unilu.ch/wf/pruefungen |
| Abschlussform / Credits |
2 discussions (critically discuss data visualizations) and a final group presentation (presentation of the dashboard) / 3 Credits
|
| Hörer-/innen |
Nach Vereinbarung |
| Kontakt |
charlotte.cabane@doz.unilu.ch |
| Anzahl Anmeldungen |
0 von maximal 20 |