Course at EMBL-EBI
Data science for life scientists
2026
This course will introduce life scientists to practical data science topics used in life sciences, such as data visualisation, image analysis, application of AI, and use of publicly available databases.
You will initially be introduced to data science theory and practice, including best practices for undertaking analyses, data management, and reproducibility.
The course will provide hands-on training in tools and resources appropriate to your research, including introducing the use of Python for handling and visualising data, statistical analysis, and the application of machine learning.
This course is currently under development, please check back again soon for further details. You can find more information about the previous iteration of this course here.
Who is this course for?
Applicants are expected to be at an early stage of using data science in their research with the need to develop their knowledge and skills further. The course would most suit PhD students who are ready to start analysing their own data.
Programme
The programme is currently under development. Please see the 2025 iteration for a reference of the potential content of this course.
This course is currently under development. Click to register your interest using the button on the right-hand side of this course website to hear as the course develops.
Competency frameworks define a core set of competencies required by professionals working in a specific field.
Visit the Competency Hub to learn more about what competencies are and to view a range of competency frameworks, career profiles, and training resources to support career development in the life sciences.
This course currently has no associated competencies.