StatQuest (Josh Starmer, PhD) · on YouTube
Clearly explained, song-punctuated videos on statistics fundamentals, regression, cross-validation, trees and boosting, PCA, and neural networks through transformers. The best quick-reference when a concept in another course does not click.
Beginners building toward ML. This is a beginner-level course in Data Science & Math for AI, running about Hundreds of 5-25 minute videos, self-paced.
Free (optional paid study guides and books). Videos are free on YouTube; PDF study guides and books sold separately.
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.