Dirk Wulff (contact), Rui Mata (contact)
CDS Meeting Room (Missionsstrasse 64A, 1st floor, RM 01.001) and/or over Zoom
Data is everywhere and is being used to answer many questions concerning our wealth, health, and productivity. The aim of this seminar is to enable you to thoughtfully and actively use data science to help answer meaningful questions in a wide variety of domains. The course will consist of 1) introductory sessions on data analytics, 2) the application of these techniques in a group project over the course of the semester, 3) discussion with experts in a meet-the-expert event to learn about opportunities and challenges of data analytics in psychology and business.
Learn the fundamentals of data science, develop confidence and skills in wrangling, analyzing, and communicating data to answer questions in an evidence-based manner.
The course is graded as PASS/FAIL. Students can receive a PASS if they fulfill the following requirements:
The course consists of 4 full-day sessions (Fridays, ca. 9:00 to 16:00), and individual group project update sessions of 1 hour (to be scheduled Friday mornings, 9:00 to 12:00). Specific dates are given below.
| Session | Date | Time | Contents |
| 1 | 10.03.2023 | 9am - 12pm 1pm - 4pm |
Introduction to data science and the PPDAC cycle; Getting Started: GitHub, R Markdown; form groups |
| 2 | 17.03.2023 | 9am - 12pm 1pm - 4pm |
Student project pitches; Data wrangling & visualization |
| 3 | 24.03.2023 | 9am - 12pm 1pm - 4pm |
Student project pitches; causal inference and statistical modeling |
| 4 | 14.04.2023 | 9am - 12pm | Project meetings: analysis |
| 5 | 28.04.2023 | 9am - 12pm | Project meetings: analysis |
| 5 | 12.05.2023 | 9am - 12pm | Project meetings: presentation |
| 6 | 2.06.2023 | 9am - 12pm 1pm - 4pm |
Student presentations; meet-the-expert event |
Please check out the Installation page to get started.