Markov Chain Course
Dive into Markov chains using real-world engagement data. Build and estimate transition matrices, examine short- and long-term dynamics, simulate interventions, and transform probabilistic analysis into practical, high-impact recommendations. Gain hands-on experience in creating stakeholder-ready reports that quantify uncertainty and support informed decisions in dynamic systems.
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.What our students say
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