DeepLearning.AI · on Coursera
Luis Serrano's visually intuitive treatment of linear algebra, calculus, and probability and statistics, with Python labs that tie each idea to a real ML algorithm. The friendliest full math foundation for ML beginners.
Beginners building toward ML. This is a beginner-level course in Data Science & Math for AI, running about 12 weeks at 5 hrs/week (3 courses, ~94 hours).
Free to audit · $49/mo Coursera subscription for certificate. FAQ lists $49/month subscription; 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.