Discrete-Time Markov Chains and Monte Carlo Methods
Completed by Murray Warring
February 11, 2026
32 hours (approximately)
Murray Warring's account is verified. Coursera certifies their successful completion of Discrete-Time Markov Chains and Monte Carlo Methods
What you will learn
Analyze long-term behavior of Markov processes for the purposes of both prediction and understanding equilibrium in dynamic stochastic systems
Apply Markov decision processes to solve problems involving uncertainty and sequential decision-making
Simulate data from complex probability distributions using Markov chain Monte Carlo algorithms
Skills you will gain
- Category: Machine Learning Algorithms
- Category: Decision Intelligence
- Category: Mathematical Theory & Analysis
- Category: Generative AI
- Category: Artificial Intelligence
