For the first time ever, PyMC Labs is opening its private workshops to the public.
These are the same high-impact sessions we’ve delivered to Bain & Company, Colgate, and other global leaders, helping teams make better business decisions under uncertainty.
Because here’s the truth:
Your model can be accurate.
But if it doesn’t communicate confidence, uncertainty, or credibility, it won’t influence decisions.
Executives don’t ask about RMSE.
They ask: “How sure are we?”
And that’s where most models fall short. That’s why we created this workshop.
A live, hands-on program designed to teach real-world Bayesian modeling — the kind used by practitioners daily to support high-stakes decisions.
You’ll walk away with:
• Working PyMC models
• The ability to answer “what if?” questions with clarity
• Confidence in explaining uncertainty to both technical and non-technical audiences
• Practical skills in priors, MCMC, causal inference, and time series modeling
And now, we’re opening it to individuals for the first time.
Learn directly from:
• Christopher Fonnesbeck (Core PyMC Developer)
• Allen Downey (Think Bayes)
• Vianey Leos Barajas (Applied Statistician, Professor)
If you’re a data scientist, PM, analyst, or researcher who wants to move from predictions to decision support, this is your chance.
Register here: Applied Bayesian Modeling
First open cohort starting Aug 5