DS320 Introduction to Data Science
| Lecturer: | Dr. Matthias Ritter |
| Course description: | Alma |
| Language: | English |
| Recommended for this semester or higher: | 4 |
| ECTS-Credits: | 6 |
| Course can be taken as part of following programs/modules: | See Alma |
| Prerequisites: | --- |
| Limited attendance: | --- |
| Course Type: | Lecture (2 weekly lecture hours), tutorial (2 weekly lecture hours) |
| Date: |
First lecture on April 17, 2025 First tutorial on April 24, 2025 |
| Registration: | By April 21 via Alma (not mandatory) |
| Method of Assessment: | Written exam (60 minutes) |
| Content: | This module provides an introduction into the field of Data Science. It will define the idea of Data Science, describe its relation to related fields, provide an overview over different statistical software packages that are used in Data Science, and introduce different statistical concepts that are used in Data Science. In addition, it will introduce students to examples of applications of Data Science in different scientific fields. |
| Objectives: | Students know how to define the field of Data Science. They are aware of different approaches in terms of programming language and statistical approach, and can relate these to different examples of how Data Science has been used to generate new knowledge. Furthermore, they are able to independently analyze economic data with econometric methods in order to derive decision-making foundations for decisions in companies. |
| Literature: | Announced in the course |
| Downloads: | ILIAS |