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 quantification, A/B testing guidance, and effective communication of results with ethical considerations.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Bayesian Statistics Course provides a quick and 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 evaluate model fit. Learn to quantify uncertainty, compare segments, guide A/B tests, and clearly communicate results, assumptions, and ethical considerations to product and marketing teams.
Elevify advantages
Develop skills
- Bayesian conversion modeling: build Beta-Bernoulli and hierarchical rate models fast.
- MCMC workflow: code, tune, and diagnose Bayesian models with pro-grade tools.
- Decision analysis: turn posterior probabilities into clear marketing actions.
- Data prep for Bayes: clean, engineer, and segment conversion data for modeling.
- 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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