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Lecture - Fundamentals of Data Analytics (Summer 2024)
[Course language: English]
Objective and lecturing style:
The lecture presents and discusses methods and theories useful to explore and learn from data. Adopting the view that “[t]he world's most valuable resource is no longer oil, but data” (Economist, 2017), the lecture addresses topics of “data literacy”, applied data analytics, as well as the correlation versus causation issue.
A regular tutorial in Python programming will be offered in order to apply the concepts discussed in the lecture. Thereby, students are asked to bring their own laptops to the tutorial.
Date, time and place:
| First Session: | Time: Tuesday 16th 4 - 6 p.m. | Location: 301 (+3/0010) (Pilgrimstein 12, Seminargebäude (B | 07)) |
| Further Lecture Sessions: |
Tuesdays 4-6 p.m. (please check schedule on ilias) |
| Tutorial Sessions: |
Time: Thursdays, 2 - 5 p.m. | Location: PC Pool - 00047 (Schulungsraum WiWi-Pavillon, 047) (Universitätsstraße 25, Pavillon (U | 06)) |
Please register for the module in MARVIN!
Course material:
Course material will be made available for download from the web-based learning platform ILIAS after the first session. For details please visit ILIAS.
Please note that for downloading materials you have to join the ILIAS group. Further, to be up to date with information regarding the course you can follow our announcements in the ILIAS group.
The password for joining the group will be announced in the first lecture.
Contact:
In case of questions, please refer to Andrew Reek.