This workshop introduces the core concepts, methods, and underlying logic of topic modelling for research. It is designed for researchers with little or no prior experience in quantitative text analysis who want to work with text data in their own projects. Participants will learn how to prepare and process text data, fit topic models, and assess and interpret the results. Examples are provided in Python, but the content is not specific to any particular programming language or software.