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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-term and long-term patterns, and calculation of stationary distributions. It covers assumption testing, intervention modelling, scenario comparisons, and producing reproducible reports with practical advice 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.
  • Acquire stationary distribution expertise: compute and interpret long-term equilibrium behaviours.
  • Learn intervention simulation: model policy impacts and evaluate scenarios using key performance metrics.
  • Build reproducible reporting abilities: produce stakeholder-focused Markov chain analyses and summaries.

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 chosen.
EmersonPolice Investigator
The course was essential to meet my boss's and the company's expectations.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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