Data Science for Management Students (CfM 18/CfM 10)
Winter Term 2025/26
Dates |
|
Credits/ |
6 |
Language |
English |
Documents |
All documents will be provided via Learnweb. |
Main Topics |
Practical introduction to Data Science and Machine Learning from a managerial perspective. Participants will work through all key phases of a Data Science project using real-world data (Kaggle), learn key concepts (AI, ML, Analytics), use relevant tools, and understand the manager’s strategic role in data-driven projects. |
Learning Outcomes |
Students will be able to understand and apply Data Science tools for management purposes. |
Exam |
Written project report and final presentation |
Presence |
Attendance required on all dates |
Contact Person |
Prof. Dr. Verena Rieger, Dr. David Lohmar |
Course Catalogue |