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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 using Markov chains for analysing weekly 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 reproducible reports with actionable insights and uncertainty measures.

Elevify advantages

Develop skills

  • Develop Markov modelling skills: construct, estimate, and validate discrete-time Markov chains efficiently.
  • Master transition analysis: calculate powers of transition matrices, n-step probabilities, and mean first passage times.
  • Gain expertise in stationary distributions: compute and interpret long-term equilibrium behaviours.
  • Learn intervention simulation: model policy changes, compare scenarios, and evaluate outcomes with key metrics.
  • Create reproducible reports: produce clear, stakeholder-focused summaries of 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 chosen.
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 valuable information.
WiltonCivil Firefighter

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