This course will introduce life scientists to practical data science topics used in life sciences, such as data handling and visualisation, statistical 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.