Dive into the world of probability with this comprehensive course from Harvard University. Explore fundamental concepts like sample spaces, conditioning, and Bayes' Theorem before delving into random variables, distributions, and limit theorems. Learn about univariate and multivariate distributions, including Normal, Binomial, Poisson, and Multivariate Normal. Discover the applications of probability in statistics, science, engineering, economics, and finance through 34 engaging lectures. Tackle over 250 practice problems with detailed solutions to reinforce your understanding. Prerequisite knowledge of single variable calculus and familiarity with matrices is recommended for this in-depth exploration of probability as a powerful tool for understanding randomness and risk in various fields.