Teaching

I teach graduate students about data science, causal inference, online data collection, and computational social science. Course materials for my recent courses live in open GitHub repositories—feel free to browse the slides, labs, and code.

Current & recent courses

Introduction to Data Science (MPP, MIA, MDS · Fall 2025)

A hands-on introduction to the data-science workflow with R—data wrangling, visualization, and communication.
Materials: github.com/intro-to-data-science-25 (lectures, labs).

Data Journalism (elective E1493 · Spring 2026)

Turning data into stories: sourcing, analyzing, and visualizing data for public-interest reporting.
Course site: data-journalism-26.github.io · Materials: github.com/data-journalism-26 (slides, code).

Courses I regularly teach

At the Hertie School (MPP, MIA, MDS, EMPA, and executive education):

Introduction to Data Science
Data Journalism
Statistics II: Statistical Modeling and Causal Inference
Statistics II: Time-Series, Panel Data & Maximum Likelihood Estimation
Web Data Collection and Social Media Mining
Election Forecasting
Data Literacy in the Digital Age
Evidence-Based Decision-Making (executive education)
Der Daten Life-Cycle – Vom Rohstoff zur KI-Anwendung (Zertifikatsprogramm "KI und Data Science für die öffentliche Verwaltung")

I have also taught at the International Program in Survey and Data Science (Mannheim & Maryland), Humboldt University of Berlin, the Mannheim Centre for European Social Research (MZES), and the University of Konstanz—covering web scraping with R, election forecasting, computational political science, and survey methodology.

Syllabus archive

Syllabi for earlier courses are collected in the teaching-syllabi repository.

Introduction to Data Science

WS 2023/24 · Syllabus
WS 2022/23 · Syllabus
WS 2021/22 · Syllabus
WS 2020/21 · Syllabus

Statistics II: Statistical Modeling and Causal Inference (with R)

SS 2023 · Syllabus
SS 2022 · Syllabus
SS 2021 · Syllabus
SS 2020 · Syllabus
SS 2019 · Syllabus

Earlier courses

Data Literacy in the Age of Big Data · WS 2018/19 · Syllabus
Introduction to Survey Methodology · WS 2015/16 · Syllabus
Computational Political Science · SS 2015 · Syllabus
Datenerhebung im World Wide Web · SS 2015 · Syllabus
Datenerhebung im World Wide Web · WS 2014/15 · Syllabus
Introduction to Survey Methodology · WS 2014/15 · Syllabus
Datenerhebung im World Wide Web · SS 2014 · Syllabus
Einführung in die Fragebogenkonstruktion · WS 2013/14 · Syllabus