| Datum | 15.– 17. Dezember 2025 |
| Dauer |
3 Präsenztage |
| Sprache | Englisch |
| Methodik |
Präsenzvorlesungen, (Live-)Fallstudien, vorbereitendes Lermaterial, Gastdozierende und integriertes Lernen |
| ECTS | 3 |
| Standort | Zürich |
Learning Objectives
- Collection and presentation of data
- Probability and random variables
- Regression analysis
- Causal analysis
Learning Content
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Understand the fundamentals of modern data analysis as they pertain to leadership in the digital age
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Learn about the potential pitfalls in data collection and how this may lead to biased data sets
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Perform critical evaluation of the presentation of data in graphs or via summary measures
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Be able to analyze data sets and to interpret numerical results for business purposes