Harvard University (HarvardX) · on edX
Rafael Irizarry's nine-course sequence teaches R, probability, inference, regression, machine learning, and productivity tools, ending in a capstone. For learners who prefer a statistics-first, university-branded path into data science.
Beginners building toward ML. This is a beginner-level course in Data Science & Math for AI, running about 1 year 5 months at 2-3 hrs/week (9 courses).
Free to audit individual courses · $1,481 for the full 9-course certificate (discounted to $1,332.90 at time of check). Price seen on edX program page 2026-11-01; promotional discounts vary. Individual course certificates sold separately.
Google's entry-level analytics program covers the data lifecycle, spreadsheets, SQL, R, Tableau, and a case-study capstone. The best-known on-ramp for people with no technical background who want data skills before tackling ML.
Twelve courses from Python and SQL basics through data visualization, machine learning, and a capstone, with no prerequisites. Suited to career changers who want an employer-recognized, end-to-end data science credential.
Sal Khan's patient video walkthroughs of vectors, span, null and column spaces, linear transformations, inverses, determinants, orthogonality, and eigenvectors. The place to start if you need linear algebra from scratch before any ML math course.