Block
Business Data Analytics: Application and Tools [T-WIWI-109863]
Type
Examination of another typeCredits
4.5Recurrence
Each summer termVersion
2Responsible
Organisation
- KIT-Fakultät für Wirtschaftswissenschaften
Part of
- Module Data Science: Data-Driven User Modeling | Industrial Engineering and Management (M.Sc.)
- Module Data Science: Data-Driven Information Systems | Industrial Engineering and Management (M.Sc.)
- Module Data Science: Data-Driven Information Systems | Economics Engineering (M.Sc.)
- Module Data Science: Data-Driven Information Systems | Digital Economics (M.Sc.)
- Module Information Systems: Engineering and Transformation | Information Systems (M.Sc.)
- Module Data Science: Data-Driven User Modeling | Information Systems (M.Sc.)
- Module Data Science: Data-Driven Information Systems | Information Systems (M.Sc.)
- Module Information Systems: Analytical and Interactive Systems | Information Systems (M.Sc.)
- Module Data Science: Data-Driven User Modeling | Information Engineering and Management (M.Sc.)
- Module Data Science: Data-Driven Information Systems | Information Engineering and Management (M.Sc.)
Events
| Course Number | Name | SWS | Type |
|---|---|---|---|
| SS21 2540466 | Business Data Analytics: Application and Tools | 2 | lecture (V) |
| SS23 2540466 | Business Data Analytics: Application and Tools | 2 | lecture (V) |
| SS24 2540466 | Business Data Analytics: Application and Tools | 2 | lecture (V) |
| SS22 2540466 | Business Data Analytics: Application and Tools | 2 | lecture (V) |
| SS20 2540466 | Business Data Analytics: Application and Tools | 2 | lecture (V) |
| SS23 2540467 | Excercise Business Data Analytics: Application and Tools | 1 | exercise (Ü) |
| SS21 2540467 | Excercise Business Data Analytics: Application and Tools | 1 | exercise (Ü) |
| SS20 2540467 | Excercise Business Data Analytics: Application and Tools | 1 | exercise (Ü) |
| SS24 2540467 | Excercise Business Data Analytics: Application and Tools | 1 | exercise (Ü) |
| SS22 2540467 | Excercise Business Data Analytics: Application and Tools | 1 | exercise (Ü) |
Exams
| Course Number | Name | Appointments |
|---|---|---|
| SS23 7900189 | Business Data Analytics: Application and Tools | |
| SS23 7900189 | Business Data Analytics: Application and Tools | 30.09.2022 - 10:30 |
| SS23 7900189 | Business Data Analytics: Application and Tools | 17.08.2022 - 11:00 |
| SS23 7900189 | Business Data Analytics: Application and Tools | 16.08.2023 - 10:00 |
| SS23 7900189 | Business Data Analytics: Application and Tools | 10.08.2021 - 08:00 |
| SS23 7900189 | Business Data Analytics: Application and Tools | |
| SS23 7900189 | Business Data Analytics: Application and Tools | 27.09.2021 - 11:00 |
| SS23 7900189 | Business Data Analytics: Application and Tools | 29.09.2023 - 08:00 |
Competence Certificate
Success is monitored through ongoing elaborations and presentations of tasks and a written exam (60 minutes) at the end of the lecture period. Successful participation in the exercises is a prerequisite for admission to the written examination. The scoring scheme for the overall evaluation will be announced at the beginning of the course.
The number of participants is limited to 50, as this is the only way to ensure conscientious support for the case study. The selection of participants is based on a short letter of motivation (max. 2000 characters including spaces) in the faculty's portal.
Prerequisites
None
Recommendation
Knowledge of (object-oriented) programming and statistics is helpful.
Annotation
The lecture is read in block sessions at the beginning of the semester. The dates will be communicated in the Wiwi-Portal.