Bayesian Statistics Course
This course teaches practical Bayesian statistics for modeling conversion data, including data preparation, model building with Beta-Bernoulli and hierarchical approaches, MCMC implementation, uncertainty measurement, A/B testing, and ethical reporting to stakeholders.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Bayesian Statistics Course provides a quick, practical way to model conversion data with confidence. You will clean and prepare real-world datasets, build Beta-Bernoulli and hierarchical models, run MCMC using modern libraries, and assess model fit. Learn to measure uncertainty, compare segments, direct A/B tests, and clearly share results, assumptions, and ethical issues with product and marketing teams.
Elevify advantages
Develop skills
- Bayesian conversion modelling: quickly build Beta-Bernoulli and hierarchical rate models.
- MCMC workflow: code, tune, and diagnose Bayesian models with professional tools.
- Decision analysis: convert posterior probabilities into clear marketing actions.
- Data prep for Bayes: clean, engineer, and segment conversion data for modelling.
- Stakeholder reporting: explain Bayesian results clearly, ethically, and concisely.
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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