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.

08 - 19 January

Application deadline: 30 November 2023

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

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

Communicating and Visualizing Data with R

Computational Statistics

Data Scraping & Management for Social Scientists with R

Deep Learning: Fundamentals and Applications

Econometrics of Big Data

Experimental Methods for Behavioral Science

Foundations of Machine Learning and Regression Methods for Categorical Outcomes

Generative AI for Text, Audio & Images

Generative AI with LLMs

Machine Learning with R – Advanced

Machine Learning with R – Introduction

Mastering the Lab: Advanced Analyses for Experimental Research

Mediation, Moderation, and Conditional Process Analysis I

Mediation, Moderation, and Conditional Process Analysis II

Mixed Methods Research

Multilevel and Longitudinal Modeling with R

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

Text Mining | Introduction to Natural Language Processing (NLP)

The Mathematical Foundations of Machine Learning

TROS Transparent Research and Open Science

Workshop Lectures on Applied Mathematics & Matrix Algebra

Workshop Lectures on Regression

Workshop Lectures on Statistics with R

Workshop Statistics with Python

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.

Search keyword or filter by course location and level

Course

Description

Instructor

Level

Next course

Location

Course

Description

Instructor

Level

Location

Next course

Current course tables

Course overview

Course directory

Subscribe to our newsletter

GSERM

Programme

Locations

Social Media

About

Contact