A sequence of 3 certifications on the prerequisite mathematics for applications in data science and machine learning. Successful participants learn how to represent data in a linear algebra context and manipulate these objects mathematically. They can summarise properties of data sets and map them onto lower-dimensional spaces with principal component analysis. Finally, they can solve optimization problems and use this skill to train models for describing data such as simple neural networks.