Bayesian Statistics Course
This course provides a practical introduction to Bayesian statistics, focusing on modeling conversion data, implementing MCMC methods, and applying results to decision-making in marketing and product contexts.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Bayesian Statistics Course gives you a fast, practical path to modeling conversion data with confidence. You will clean and prepare real-world datasets, build Beta-Bernoulli and hierarchical models, run MCMC with 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 are saying
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