Markov Chain Course
Master Markov chains with real engagement data. Learn to build transition matrices, analyze short- and long-term behavior, model interventions, and turn stochastic insights into clear, actionable recommendations for high-impact mathematical decisions.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Markov Chain Course gives you a focused, hands-on path to modeling weekly engagement logs. You will clean and explore data, estimate transition matrices, analyze short- and long-term dynamics, and compute stationary distributions. Learn to test assumptions, model interventions, compare scenarios, and present clear, reproducible reports with actionable recommendations and quantified uncertainty.
Elevify advantages
Develop skills
- Markov modeling: build, estimate, and validate discrete-time Markov chains fast.
- Transition analysis: compute P, P², n-step moves, and mean first passage times.
- Stationary insights: derive stationary distributions and interpret long-run behavior.
- Intervention design: simulate policy changes and compare scenarios with clear metrics.
- Reproducible reporting: create concise, stakeholder-ready Markov chain reports.
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.What our students say
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