Markov Chain Course
Gain expertise in Markov chains using real-world engagement data. Build and analyse transition matrices, explore short- and long-term dynamics, simulate interventions, and transform probabilistic insights into actionable, high-impact recommendations for informed decision-making in stochastic modelling.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Dive into Markov chains with practical steps for analysing weekly engagement data. Clean and explore datasets, build transition matrices, examine short- and long-term patterns, and calculate stationary distributions. Master testing assumptions, simulating interventions, comparing options, and delivering reproducible reports with solid recommendations and uncertainty measures.
Elevify advantages
Develop skills
- Markov modelling: rapidly construct, estimate, and validate discrete-time Markov chains.
- Transition analysis: calculate powers of P, n-step transitions, and mean first passage times.
- Stationary distributions: compute and interpret long-term equilibrium behaviours.
- Intervention simulation: model policy changes and evaluate scenarios using key metrics.
- Reproducible reports: produce clear, stakeholder-focused Markov chain analyses.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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