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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. 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 to build, estimate, and validate discrete-time Markov chains efficiently.
  • Master transition analysis by computing powers of matrices, n-step transitions, and mean first passage times.
  • Acquire expertise in deriving stationary distributions and interpreting long-term system behaviour.
  • Learn to design interventions by simulating policy changes and evaluating scenarios with key performance metrics.
  • Build proficiency in producing concise, reproducible reports tailored for stakeholders.

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 Elevify course 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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