Stochastic Processes and Markov Chains

The UC San Diego Division of Extended Studies presents Stochastic Processes and Markov Chains, a foundational course in Data Science & Analytics.

This rigorous program explores probability models for systems evolving over time, equipping students with mathematical tools for analyzing random phenomena in finance, biology, and machine learning applications.

Participants will master Markov chain theory, transition matrices, and stochastic modeling techniques essential for advanced analytics.