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 say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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