DS400 Data Science Project Management
| Lecturer: | David Gremminger, M.Sc. |
| Course description: | DS400 |
| Language: | English |
| Recommended for this semester or higher: | 1 |
| ECTS-Credits: | 9 |
| Course can be taken as part of following programs/modules: | Economics and Finance Data Science in Business and Economics |
| Prerequisite for: | --- |
| Prerequisites: | Basic knowledge about R and statistics |
| Course Type: | Lecture (2 weekly lecture hours) |
| Date: | R Refresher Course: October, 10 time tba - PC Lab, Nauklerstr. 47 (ground floor) - Attendance is optional. Beginning of the first lecture: October 15, 2019 from 8 a.m. c.t. - 10 a.m. - PC Lab, Nauklerstr. 47 (ground floor) |
| Registration: | Limited to 28 participants. Registration open for all (no first-come, first-served): Registration will open on Monday, September 16, 2019 at 9 a.m. on ILIAS - end of registration time: Monday, October 7, 2019 (23:55 p.m.). If the number of applications (limited to 28 participants) exceeds the number of places available, we unfortunately will not be able to accept all of the applicants. In this case, a random selection will be made from all the applications received. |
| Downloads: | Ilias |
| Method of Assessment: | Written Exam (90 Minutes), Assignment Regular date: Additional date: |
| Content: | The course deals with the workflow of empirical analyses, applying all steps from data collection through data management to data output using the statistical software R. The focus is on dealing with large data sets and implementation of all data preparation and analysis steps in code to ensure replicability. |
| Objectives: | Through the tutorial, students will be able to reflect on the concepts presented in theory, and to apply these concepts to advanced research problems. |
| Literature: | Grolemund, G. & Wickham, H. (2017): R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly Media. |