Bayesian Statistics Course
This course equips learners with practical Bayesian statistics skills for modeling conversion data, including data preparation, model construction, MCMC execution, uncertainty quantification, and effective communication of results.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Bayesian Statistics Course provides a swift, practical route to modelling conversion data with confidence. You will clean and prepare real-world datasets, construct Beta-Bernoulli and hierarchical models, execute MCMC using modern libraries, and assess model fit. Learn to quantify uncertainty, compare segments, inform A/B tests, and clearly communicate results, assumptions, and ethical considerations to product and marketing teams.
Elevify advantages
Develop skills
- Bayesian conversion modelling: construct Beta-Bernoulli and hierarchical rate models swiftly.
- MCMC workflow: code, tune, and diagnose Bayesian models with professional-grade tools.
- Decision analysis: transform 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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