This course will provide an introduction to metabolomics through lectures and hands-on sessions, using publicly available data, software, and tools. Participants will become familiar with standardised workflows as well as with the current state of experimental design, data acquisition (LC-MS, MS imaging), data processing and compound annotation, and modelling. In addition, they will learn about community standards and open data practices in metabolomics, particularly through the use of EMBL-EBI’s MetaboLights repository and Galaxy infrastructure. Participants will learn through hands-on tutorials how to use the tools available for data analysis and data submission. Additionally, case studies will be discussed to show how to employ the week’s learning.