Bayesian Statistics Course
Master Bayesian statistics for practical conversion modelling. Build Beta-Bernoulli and hierarchical models, run MCMC, compare models, and transform uncertainty into actionable data-driven decisions for marketing, product, and growth teams. Gain skills to quantify uncertainty, guide A/B tests, and communicate results effectively to stakeholders.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Bayesian Statistics Course offers a quick, practical approach to modelling conversion data confidently. Clean and prepare real-world datasets, construct Beta-Bernoulli and hierarchical models, execute MCMC using modern libraries, and assess model fit. Learn to measure uncertainty, compare segments, direct A/B tests, and convey results, assumptions, and ethical aspects clearly to product and marketing teams.
Elevify advantages
Develop skills
- Bayesian conversion modelling: build Beta-Bernoulli and hierarchical rate models quickly.
- MCMC workflow: code, tune, and diagnose Bayesian models using professional tools.
- Decision analysis: convert posterior probabilities into clear marketing actions.
- Data preparation 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 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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