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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 clean and explore datasets, build transition matrices, examine short-term and long-term patterns, calculate stationary distributions, test key assumptions, simulate interventions, evaluate different scenarios, and produce clear reports with practical advice and uncertainty measures.

Elevify advantages

Develop skills

  • Markov chain construction: rapidly build, estimate, and validate discrete-time models.
  • Transition matrix analysis: calculate powers, multi-step probabilities, and passage times.
  • Stationary distribution computation: find and explain long-term equilibrium states.
  • Intervention simulation: model changes, compare options using robust metrics.
  • Reproducible reporting: produce stakeholder-focused reports with clear visuals.

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

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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 rich information.
WiltonCivil Firefighter

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