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Markov Chain Course

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

What will I learn?

This course provides a practical guide to using Markov chains for analysing weekly user engagement data. Participants will learn data cleaning and exploration techniques, transition matrix estimation, analysis of short-term and long-term patterns, and calculation of stationary distributions. Key skills include testing model assumptions, simulating interventions, comparing different scenarios, and producing clear reports with recommendations backed by quantified uncertainty measures.

Elevify advantages

Develop skills

  • Markov chain modelling: quickly construct, estimate, and validate discrete-time Markov chains.
  • Transition matrix analysis: calculate powers, n-step transitions, and mean first passage times.
  • Stationary distribution analysis: compute and interpret long-term equilibrium behaviours.
  • Intervention simulation: model policy changes and evaluate scenarios using key performance metrics.
  • Reproducible reporting: produce stakeholder-friendly reports on Markov chain findings.

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

I was just promoted to Intelligence Advisor for the Prison System, and the course from Elevify was crucial for me to be selected.
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 valuable information.
WiltonCivil Firefighter

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