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Markov Chain Course

Markov Chain Course
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.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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