Markov Chain Course
Dive into Markov chains using real-world engagement data. Build and analyse transition matrices, explore transient and steady-state behaviours, simulate policy impacts, and deliver actionable stochastic insights through reproducible reports that drive informed mathematical strategies. Gain hands-on skills to transform probabilistic models into high-value decisions for engagement optimisation.

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 clean and explore datasets, build transition matrices, examine short-term and long-term patterns, calculate stationary distributions, test key assumptions, simulate interventions, evaluate different scenarios, and produce clear reports with practical advice and uncertainty measures.
Elevify advantages
Develop skills
- Markov chain construction: rapidly build, estimate, and validate discrete-time models.
- Transition matrix analysis: calculate powers, multi-step probabilities, and passage times.
- Stationary distribution computation: find and explain long-term equilibrium states.
- Intervention simulation: model changes, compare options using robust metrics.
- Reproducible reporting: produce stakeholder-focused reports with clear visuals.
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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