Courses

Courses

The GSERM Global School in Empirical Research Methods offers courses in quantitative and qualitative statistics at different locations. Participants choose one course per week (24 contact hours) worth 4 ECTS. Participation enables networking with fellow researchers and enjoying an interesting cultural programme.

Courses are offered at different levels (basic to advanced). Accommodation is available and can be booked at an additional cost. All courses are taught in English.

Current course tables

GSERM courses are offered at the following locations. Click on the location to get more information about the courses taking place.

01 - 22 May

Application deadline: 31 March 2024

30 May - 21 June

Application deadline: 30 April 2024

16 - 27 September

Application deadline: 31 August 2024

13 - 24 January

Application deadline: 30 November 2024

Course overview

This GSERM course list gives an overview about all courses in empirical research methods. By clicking on the desired course you will find more information on the course content.

Analyzing Panel Data

Analyzing Survey Research Data

Analyzing Unstructured Data

Applying open-source LLMs in Social & Behaviour Sciences

Basic and Advanced Multilevel Modeling with R and Stan

Bayesian Data Analysis

Case Study Methods

Causal Inference

Causal Machine Learning

Computational Statistics

Data Scraping & Management for Social Scientists with R

Data Storytelling with R

Deep Learning for Generative AI

Deep Learning: Fundamentals and Applications

Econometrics of Big Data

Empirical Phenomenology: The Practice of Ethnography

Experimental Research Design and Analyses

Foundations of Machine Learning and Regression Methods for Categorical Outcomes

Generative AI with LLMs

Machine Learning with R – Advanced

Machine Learning with R – Introduction

Mediation, Moderation, and Conditional Process Analysis I

Mediation, Moderation, and Conditional Process Analysis II

Mixed Methods Research

Mobile Sensing Methods

Multilevel Analysis, Mixed Effects Modeling, and Longitudinal Data Analysis with R

Natural Language Processing with Bag of Words & LLM Methods

Necessary Conditions Analysis: Theory and Applications

Network Analysis – Statistical Analysis of Social Network Data

Online Behavioral Research

Qualitative Bayesian Reasoning for Case Studies

Qualitative Comparative Analysis

Qualitative Research Methods & Data Analysis

Regression Analysis for Spatial Data

Regression Analysis II – Linear Models

Regression for Publishing

Regression I – Introduction

Smart Data-Driven Econometrics

Structural Equation Models

The Mathematical Foundations of Machine Learning

Workshop “The Ph.D. Journey”

Workshop Lectures on Applied Mathematics & Matrix Algebra

Workshop Lectures on Regression

Workshop Lectures on Statistics with R

Workshop Statistics with Python

WorkshopTROS: Transparent Research and Open Science

Course directory

Our directory lists all GSERM courses. See the location (last column) to find out if your prefered course will be held soon.

If the course is coming up soon, you can find more information about the course of your choice under current course tables at the corresponding location.

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