Everything you need is already provided through DataQuest and Brilliant (and the 3Blue1Brown series on the Mathematics page). The links below are entirely optional - included only because everyone learns differently and you may prefer a different format or some extra practice. There is no expectation that you work through them.

Everybody learns in a different way, especially in maths. If you prefer video lectures, or want more exercises and other styles of learning, the resources below may help. It is usually a combination of resources that works best - feel free to experiment and see what suits you.

By topic

Linear algebra

Matrices and vectors, matrix multiplication, eigenvalues and eigenvectors, singular value decomposition, principal component analysis.

Single-variable calculus

Differential and integral calculus: limits, derivatives, differentiation strategies.

Multivariable calculus

Partial derivatives, Laplacian, Jacobian, gradients, Lagrange multipliers, multiple integrals, Taylor series, optimisation.

Statistics & probability

Descriptive and inferential statistics, Bayes' theorem.

Platforms

  • Khan Academy - a comprehensive, free resource for furthering your knowledge of complex mathematical concepts. Visit
  • MIT OpenCourseWare - one of the most useful resources for learning anything technical, for dedicated self-learners. Each course takes time; if you are short on it, read the course notes, which explain most of the lectures in detail. Visit
  • TrevTutor - short-form videos summarising basic concepts in linear algebra, calculus and discrete mathematics. Visit
  • StatQuest - breaks down complicated statistics and machine-learning methods into small, bite-sized pieces that are easy to understand. Visit

Keep calm and learn maths.