Imperial College London · on Coursera
Three courses on linear algebra, multivariate calculus, and PCA, taught with an eye toward how each concept appears in ML. The classic math refresher for learners who found an ML course's notation intimidating.
Beginners building toward ML. This is a beginner-level course in Data Science & Math for AI, running about 3-4 months at 3-4 hrs/week (3 courses, ~58 hours).
Free to audit · $49/mo Coursera subscription for certificate. Included with Coursera Plus; financial aid available. Seen 2026-11-01.
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.
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.