MIT OCW: Introduction to Probability (6.041/6.431)
Run by MIT OpenCourseWare
OnlineOnline, Self-paced, ~90 hoursOpenLow effort
About this opportunity
MIT's full undergraduate probability course with lecture videos, problem sets, exams, and full solutions. Covers combinatorics, random variables, distributions, transforms, Bayesian inference, and Markov chains at a rigorous level. More mathematically demanding than Khan Academy and suitable for students aiming for NUS/NTU mathematics or engineering.
Who can apply
Anyone with calculus background; advanced JC2 or post-A-Level students