Markov Chain Course
Gain expertise in Markov chains using real engagement data. Master building transition matrices, analysing short- and long-term dynamics, simulating interventions, and converting stochastic analysis into actionable recommendations for impactful decisions. This course equips you with practical skills to model user behaviour, quantify uncertainty, and deliver high-value insights for business strategies.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course provides a practical guide to Markov chains for analysing weekly engagement data. You will preprocess and explore datasets, build transition matrices, study transient and steady-state behaviours, calculate stationary distributions, validate models, simulate interventions, evaluate scenarios, and create reproducible reports with quantified risks and recommendations.
Elevify advantages
Develop skills
- Markov chain modelling: construct, estimate, and validate discrete-time Markov chains quickly.
- Transition matrix analysis: calculate P, P², n-step transitions, and mean first passage times.
- Stationary distribution analysis: compute stationary distributions and explain long-term behaviour.
- Intervention simulation: model policy changes and compare scenarios using clear metrics.
- Reproducible reports: produce concise, stakeholder-friendly Markov chain reports.
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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