Mathematics is foundational to data science. This course aims to deliver a compact and tailored introduction to the core mathematical concepts of data science. Linear algebra, probability and statistics, and optimisation are mathematical pillars underlying the practice of data science. The course covers the core concepts across these three pillars and accompanying modern computational tools of mathematics.
Upon completing the course, students will have a broad understanding of linear algebra, probability and statistics, and optimisation necessary for data science.