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Markov Chain Course

Markov Chain Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course provides a practical guide to Markov chains for analysing weekly engagement data. You will preprocess and explore datasets, build transition matrices, study transient and steady-state behaviours, calculate stationary distributions, validate models, simulate interventions, evaluate scenarios, and create reproducible reports with quantified risks and recommendations.

Elevify advantages

Develop skills

  • Markov chain modelling: construct, estimate, and validate discrete-time Markov chains quickly.
  • Transition matrix analysis: calculate P, P², n-step transitions, and mean first passage times.
  • Stationary distribution analysis: compute stationary distributions and explain long-term behaviour.
  • Intervention simulation: model policy changes and compare scenarios using clear metrics.
  • Reproducible reports: produce concise, stakeholder-friendly Markov chain reports.

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.
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 I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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