<p>An introduction to probability taught by Professor Joseph Blitzstein of Harvard, covering sample spaces, conditional probability, Bayes' rule, discrete and continuous random variables, the Central Limit Theorem, joint distributions, and Markov chains. The course mirrors Harvard's undergraduate Stat 110 and is well-suited to JC students with basic calculus preparing for university-level statistics.</p><ul><li>Delivered on edX as a self-paced course; full lecture videos are also freely available on YouTube</li><li>10 weeks at 5–10 hours per week, with rolling start dates</li><li>Prerequisites: high-school algebra and single-variable calculus (matrices used only in the final unit)</li><li>Free to audit; an optional HarvardX verified certificate is available for a fee</li><li>Topics include counting and story proofs, expectation, the Law of Large Numbers, and Markov chains</li></ul><p>Register directly on edX to start either the audit track or the verified-certificate track.</p>