Learner Central: Intermediate to Advanced

Linear Algebra

Linear algebra has applications in many fields, including data science. Get started with these Khan Academy modules.

  • Vectors: An introduction to vectors.
  • Matrices: An introduction to matrices.
  • Linear algebra: Vectors, subspaces, matrix transformations, orthogonality, and eigenvectors.


Boost your data analysis skills by developing a strong foundation in calculus.

Regression Analysis

Learn how to analyze relationships between variables using regression.

Visual Analytics and Machine Learning

Follow these IBM OpenDS4All modules on more advanced data science topics. Each module contains lecture slides, sample code in Jupyter Notebook, and homework problems.

Also watch this video series on supervised machine learning by Columbia University M.S. in Data Science student Tomislav Galjanic.

Join other data science learners on our Slack community!