Markov Chain Course
Dive into Markov chains using authentic engagement datasets. Gain expertise in developing transition matrices, examining immediate and extended behaviours, simulating interventions, and converting probabilistic analyses into straightforward, implementable strategies for impactful data-driven choices. Perfect for those aiming to leverage stochastic models in decision-making processes.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course provides a practical guide to applying Markov chains for analysing weekly engagement data. Participants will preprocess and examine datasets, construct transition matrices, evaluate transient and steady-state patterns, and determine equilibrium distributions. Key skills include validating model premises, simulating interventions, contrasting different scenarios, and producing transparent reports featuring practical advice and uncertainty measures.
Elevify advantages
Develop skills
- Markov chain construction: rapidly develop, fit, and verify discrete-time Markov models.
- Transition matrix computations: calculate powers, multi-step probabilities, and recurrence times.
- Equilibrium distribution analysis: compute and explain long-term stable states.
- Policy intervention modelling: test changes and evaluate outcomes using key performance indicators.
- Stakeholder reporting: produce clear, reproducible analyses tailored for decision-makers.
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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