The courses that we offer you have been designed for practitioners by practitioners with a mathematical and computational background. You will build a solid theoretical foundation, which is vital for understanding data science and machine learning.
The emphasis, however, is not on theory but on getting results in practice. As George Pólya put it, mathematics (and programming!) is not a spectator sport!
For this very reason, we use active learning. Practical exercises will be provided in unassessed tutorials, and Jupyter-based laboratory sessions.