Becoming a BayeZian I
Bayesian expertise is among the most sought-after skills in tech, finance, pharma, and sports analytics. Start from first principles—uncertainty, probability, and priors—and progress to GLMs and hierarchical models with Stan under the guidance of a Columbia professor.
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Columbia Professor • Stan Collaborator
Companies across every industry are seeking analysts who can quantify uncertainty, not just make predictions.
Bayesian analysts command premium salaries at top companies. Master the probabilistic thinking that powers decisions at Amazon, Google, pharmaceutical giants, and elite sports teams.
Bernoulli, Binomial, Poisson, Beta, Normal—know when and why to use each.
Formulate priors, write likelihoods, and interpret posteriors with confidence.
Code models, fit with cmdstanr, and check HMC diagnostics like a pro.
Use PPCs and LOOCV/ELPD to compare and validate your models.
Model counts and probabilities with logit and log links.
Share strength across groups with partial pooling and reparameterization.
Prototype distributions and models to build intuition before Stan.
Build and extend an expected-goals model with real soccer data.
20 comprehensive modules covering probability, Stan fundamentals, GLMs, hierarchical models, and a full soccer xG case study.
Scott Spencer is one of the world's foremost experts in applied Bayesian analysis. As a Columbia professor and Stan collaborator, his methods power decisions at Amazon, Johnson & Johnson, Vevo, and leading sports franchises. His unique ability to translate complex probabilistic concepts into production-ready code has made him the go-to instructor for organizations serious about Bayesian methods.
"Scott Spencer brings Bayesian modeling alive. He not only explains the math, but shows how to implement models in Stan that are clear, scalable, and ready for research or production."
"AthlyticZ has completely transformed the learning approach to data science through the use of sports-based problems. The instructors are the best of the best."
Mix clear instruction, continuous assessment, and applied projects—learn at your pace and show real results.
Learn on your schedule with concise, high-quality videos you can pause, replay, and revisit.
Reinforce concepts with practical exercises that build intuition in real workflows.
Low-friction quizzes give you immediate feedback and keep you on track.
Tackle real analytics problems with portfolio-ready case studies.
Curated readings, Stan files, and R scripts to deepen understanding.
Lesson-embedded notes and preloaded code for hands-on learning.
Bayesian skills open doors at top tech companies, pharmaceutical giants, hedge funds, and elite sports organizations. This is the investment that pays dividends for your entire career.