Course materials
Data science for life scientists
These materials include:
3 July 2026
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All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.
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The Data science for life scientists course introduces practical data science methods increasingly used in research, with a focus on machine learning, using Python as a language of choice. The course ran in June 2026. Here, we have made the course materials available for you to access at any time.
Using these materials
These course materials provide a mixture of pre-recorded lectures, presentations and practicals to help advance your knowledge and skills in the analysis of biological data. You may select your topic of interest from the Course content page to view the relevant materials or work your way through all the course materials.
To find out more about the trainers who created these materials, follow the links from the Course content page or go directly to the Trainer biographies page.
In the Further learning section you may explore the details about the EMBL-EBI’s free access online tutorials and webinars on a variety of life sciences topics.
If you would like to provide feedback on this set of course materials, please use the form on the Your feedback page.
Learning outcomes
By the end of the course, you will be able to:
- Use Python to collect, handle, and visualise biological data
- Identify analysis methods suitable for particular datasets
- Apply preprocessing pipelines and good practices for analysis and reproducibility
- Apply statistical methods to biological data
- Train and evaluate simple machine learning models
- Discuss applications of large language models in the life sciences
Material collection editors
- Andrew Green, EMBL-EBI
- Santosh Tirunagari, EMBL-EBI
- Flaminia Zane, EMBL-EBI
DOI:
10.6019/TOL.data-science-for-life-scientists-course-t.2026.00001.1