Markov Chain Course
Dive into Markov chains using real-world engagement data. Build and analyse transition matrices, explore short- and long-term dynamics, simulate interventions, and deliver actionable stochastic insights for informed, high-impact decisions. Gain hands-on skills in data cleaning, matrix estimation, stationary analysis, scenario comparison, and stakeholder reporting with quantified uncertainty.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This course provides a practical guide to modelling weekly engagement data using Markov chains. Participants will clean and analyse data, build transition matrices, examine short- and long-term patterns, calculate stationary distributions, test key assumptions, simulate interventions, evaluate scenarios, and produce reproducible reports with practical 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 analysis: compute and interpret long-run stationary distributions.
- Intervention simulation: model policy changes and compare outcomes using key metrics.
- Reproducible reporting: produce clear, concise reports tailored for stakeholders.
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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