Markov Chain Course
Dive into Markov chains using real-world engagement data. Build and estimate transition matrices, examine short- and long-term dynamics, simulate interventions, and transform probabilistic analysis into practical, high-impact recommendations for data-driven decisions. Gain hands-on skills to model user behaviour effectively and deliver clear reports 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 user engagement data. You will learn data cleaning and exploration techniques, transition matrix estimation, analysis of short-term and long-term patterns, and calculation of stationary distributions. Additionally, you will master assumption testing, intervention modelling, scenario comparisons, and creation of reproducible reports featuring actionable insights with uncertainty quantification.
Elevify advantages
Develop skills
- Markov chain modelling: quickly build, estimate, and validate discrete-time chains.
- Transition matrix analysis: calculate powers, n-step transitions, and passage times.
- Stationary distribution computation: find and explain long-term equilibrium states.
- Intervention simulation: test policy impacts and compare options using key metrics.
- Reproducible reports: produce stakeholder-friendly documents with solid insights.
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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