The Data science for life scientists course, which provided an introduction to the field with sessions focusing, amongst others, on Python, statistical analysis and machine learning, ran in June 2025. Here, we have made the course materials available for you to access any time.

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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.

 

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Learning outcomes

After the course you should be able to:

• Use Python to handle and visualise biological data
• Describe and access data using EMBL-EBI data services 
• Apply statistical methods to analyse biological data
• Discuss applications of machine learning in life sciences 
• Use Cytoscape to explore networks

Material collection editors

• Andrew Green, EMBL-EBI
• Flaminia Zane, EMBL-EBI

DOI: 10.6019/TOL.DataScience25-t.2025.00001.1