Teaching
🎒 Reference Management Briefing
- Spring 2024, find materials here
- Cognition in Online Environments, ARC, MPIB Berlin
🎒 Introduction to R Workshop
- Spring 2022, two-day (6h) workshop
- Teaching language: English
- Program: MSc Public Policy and MSc International Affairs at the Hertie School, Berlin
Day 1 - Base R Basics Covering data types and structures in R, the RStudio interface, arithmetic and logical operators in R, vector operations, working with data frames, saving data, handling errors, missing data, and a note on best practices (script structure, naming conventions, repetition etc.)
Day 2 - Tidyverse Covering tidy data, the pipe operator and tidyverse syntax, data manipulation with dplyr, joins in dplyr, pivoting in tidyr, data cleaning with tidyr, data visualization with ggplot2, basics of functions, iteration, and functionals with purrr
🎒 Introduction to Data Science
- Fall 2021
- Teaching language: English
- Program: MSc Data Science for Public Policy at the Hertie School, Berlin
- Teaching Assistant to Prof. Simon Munzert
Topics covered: Base R basics and best practice, Version control and project management with GitHub, Tidyverse, Functions, Iteration and Data bases, Web scraping with R, Modelling, Visualization, Working with the Shell, Debugging and Packaging, Interactive Web Applications with Shiny
Access all materials here!
🛠Tools for Data Science Workshop A range of topics that were not covered in class (e.g. geospatial data, network data, text analysis, etc.) were subjects of our Tools for Data Science Workshop. Find the workshop website, including all materials here!
🎒 Statistical Modeling & Causal Inference
- Spring 2021
- Teaching language: English
- Program: Policy Analysis Track of the Master in Public Policy at the Hertie School, Berlin
- Teaching Assistant to Prof. Simon Munzert
I reviewed the lecture materials and hold R tutorials on the practical implementation of causal inference techniques for two diverse, interdisciplinary and international groups of students on a weekly basis. In collaboration with Sebastian Ramirez-Ruiz, we constructed weekly assignments to assess their learning progress continuously.
Topics covered: Causality, DAGs, the Potential Outcomes Framework, Regression, Matching, Instrumental Variables, Regression Discontinuity Designs, Difference in Difference, Panel Data and Fixed Effects, Moderation and Mediation.
If you are interested in learning and implementing causal inference techniques in R, check out our
open causal inference course materials!
🎒 Quantitative Methods II
- Spring 2015, Spring 2016
- Teaching language: German
- Program: BSc Psychology, University of Kassel, Germany
- Teaching assistant to Dr. Isabel Lindner
I reviewed the lecture materials and hold tutorials on how to derive estimates by hand (conceptually) and in R (applied).
Topics covered: Analyses of Variance, Repeated Measures, (Semi)Partial Correlation, Multiple Regression, Analyses of Covariance, Non Parametrical Tests.
🎒 Quantitative Methods I
- Fall 2015
- Teaching language: German
- Program: BSc Psychology, University of Kassel, Germany
- Teaching assistant to Dr. Isabel Lindner
I reviewed the lecture materials and hold tutorials on how to derive estimates by hand (conceptually) and in R (applied).
Topics covered: Scales and Variables, Measurement Theory, Descriptive Statistics, Logic of Statistical Tests and Statistical Inference, T-Tests, Correlation and Regression.