Markov Chain Course
This course teaches you to master Markov chains using real-world engagement data. You will construct transition matrices, examine short- and long-term behaviors, simulate policy interventions, and transform probabilistic analysis into actionable, high-impact recommendations with quantified uncertainty for informed decision-making.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain hands-on skills in Markov chains for modeling weekly engagement data. Clean and explore datasets, build transition matrices, analyze short-term and long-term patterns, calculate stationary distributions, test key assumptions, simulate interventions, compare different scenarios, and produce reproducible reports with practical recommendations and uncertainty measures.
Elevify advantages
Develop skills
- Markov modeling: rapidly build, estimate, and validate discrete-time Markov chains.
- Transition analysis: calculate powers of P, n-step transitions, and mean first passage times.
- Stationary insights: compute and interpret stationary distributions for long-run behavior.
- Intervention design: model policy changes, simulate scenarios, and evaluate with key metrics.
- Reproducible reporting: develop clear, concise reports tailored for stakeholders.
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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