Markov Chain Course
Gain expertise in Markov chains using real-world engagement data. Build and analyse transition matrices, study short- and long-term dynamics, simulate policy changes, and deliver actionable insights with quantified uncertainty for informed decision-making in stochastic modelling.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This course provides a practical guide to using Markov chains for analysing weekly engagement data. Participants will clean data, build transition matrices, examine short-term and long-term patterns, calculate stationary distributions, test key assumptions, simulate interventions, evaluate different scenarios, and produce reliable reports with practical advice and uncertainty measures.
Elevify advantages
Develop skills
- Develop skills in Markov modelling: construct, estimate, and validate discrete-time Markov chains efficiently.
- Master transition analysis: calculate powers of matrices, n-step transitions, and mean first passage times.
- Acquire stationary distribution techniques: compute and interpret long-term equilibrium behaviours.
- Learn intervention simulation: model policy impacts and compare scenarios using robust metrics.
- Build reproducible reporting: produce clear, stakeholder-focused Markov chain analyses.
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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