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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 using Markov chains for analysing weekly engagement data. Participants will learn data cleaning and exploration, transition matrix estimation, analysis of short- and long-term patterns, stationary distribution calculations, assumption testing, intervention modelling, scenario comparisons, and production of reproducible reports with recommendations and uncertainty measures.

Elevify advantages

Develop skills

  • Markov chain modelling: construct, estimate, and validate discrete-time chains efficiently.
  • Transition matrix analysis: calculate powers, n-step transitions, and first passage times.
  • Stationary distribution analysis: compute and interpret long-term equilibrium behaviours.
  • Intervention simulation: model policy impacts and evaluate scenarios using key metrics.
  • Reproducible reporting: produce clear, stakeholder-focused Markov chain analyses.

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

I was just promoted to Intelligence Advisor for the Prison System, and the course from Elevify was crucial for me to be the chosen one.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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