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Markov Chain Course

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

What will I learn?

This course provides a practical guide to modelling weekly engagement data using Markov chains. Participants will clean and analyse data, build transition matrices, examine short- and long-term patterns, calculate stationary distributions, test key assumptions, simulate interventions, evaluate scenarios, and produce reproducible reports with practical recommendations and uncertainty measures.

Elevify advantages

Develop skills

  • Markov modelling: rapidly construct, estimate, and validate discrete-time Markov chains.
  • Transition analysis: calculate powers of P, n-step transitions, and mean first passage times.
  • Stationary analysis: compute and interpret long-run stationary distributions.
  • Intervention simulation: model policy changes and compare outcomes using key metrics.
  • Reproducible reporting: produce clear, concise reports tailored for stakeholders.

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

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