| Dozent/in |
Charlotte Cabane, PhD |
| Veranstaltungsart |
Workshop |
| Code |
FS251026 |
| Semester |
Frühjahrssemester 2025 |
| Durchführender Fachbereich |
Wirtschaftswissenschaften |
| Studienstufe |
Master |
| Termin/e |
Do, 10.04.2025, 14:15 - 18:00 Uhr, HS 13
Do, 17.04.2025, 14:15 - 18:00 Uhr, HS 13
Do, 01.05.2025, 14:15 - 18:00 Uhr, HS 13
Do, 08.05.2025, 14:15 - 18:00 Uhr, HS 13
Do, 15.05.2025, 14:15 - 18:00 Uhr, HS 13
Do, 22.05.2025, 14:15 - 18:00 Uhr, HS 13 |
| Umfang |
2 Semesterwochenstunden |
| 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 partof 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 and how to leverage a state-of-the-art visualization software. 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 |
| Anmeldung |
To attend the course /
exercise, registration via e-learning platform OLAT is required. Registration
is possible from 3 – 28 February 2025. The students themselves are
responsible for checking the creditability of the course to their course of
study.
Direct link to OLAT course: https://lms.uzh.ch/url/RepositoryEntry/17670242375 |
| Prüfung |
***IMPORTANT*** In order to acquire credits, resp. to take the examination, registration via the Uni Portal within the examination registration period is ESSENTIALLY REQUIRED. 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
|
| Hinweise |
Please note that the lectures for this course begin before the Easter Break. |
| Hörer-/innen |
Nach Vereinbarung |
| Kontakt |
charlotte.cabane@doz.unilu.ch |
| Anzahl Anmeldungen |
0 von maximal 20 |