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
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