Markov Chain Course
Gain expertise in Markov chains using real-world engagement data. Build transition matrices, examine short- and long-term dynamics, simulate interventions, and convert probabilistic analysis into actionable strategies for informed decision-making. The course emphasises hands-on skills for reliable stochastic modelling and clear reporting tailored to stakeholders.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course provides a practical guide to using Markov chains for analysing weekly engagement data. Participants will learn data cleaning and exploration, transition matrix estimation, analysis of short-term and long-term patterns, and calculation of stationary distributions. It covers assumption testing, intervention modelling, scenario comparisons, and producing reproducible reports with practical advice and uncertainty measures.
Elevify advantages
Develop skills
- Develop Markov modelling skills: construct, estimate, and validate discrete-time Markov chains efficiently.
- Master transition analysis: calculate powers of transition matrices, n-step probabilities, and mean first passage times.
- Acquire stationary distribution expertise: compute and interpret long-term equilibrium behaviours.
- Learn intervention simulation: model policy impacts and evaluate scenarios using key performance metrics.
- Build reproducible reporting abilities: produce stakeholder-focused Markov chain analyses and summaries.
Suggested summary
Before starting, you can change the chapters and 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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