Four days. 2.5 focused hours each. Source documents to production-grade interactive applications. D3.js, Bayesian inference, physics-constrained modeling. No fluff. Every minute is building.
D3.js-powered interactive visualizations built from real source documents. A repeatable methodology for any industry. The skills employers are actively hiring for.
Every one of these started as PDFs and a prompting loop. No React. No build step. Single HTML files running real domain logic.
You walk in with a Claude account and a laptop. You walk out with multiple deployed applications, a methodology playbook, and a certificate of completion.
Seven years in MLB front offices across three organizations: the Philadelphia Phillies, Detroit Tigers, and Miami Marlins. Lead QA, Principal QA, and Special Assistant roles building the analytical infrastructure that directly informed roster construction and player evaluation decisions.
PhD in Statistics with a specialization in Wind Engineering from Iowa State University. NSF IGERT Fellow (2013-2018). Research at the intersection of probabilistic modeling, physical systems, and real-time decision-making.
Founder and President of AthlyticZ. Official Posit Partner. Teaching data science, Bayesian modeling, and application development across 15+ countries. Advisory board member at Boston College MS Sports Analytics and Lasell University MS Applied Sports Science.
Three cohorts available. Same curriculum. Same instructor. 25 seats each. Pick the dates that work for you.
The workshop gives you the methodology. These courses give you the depth. Apply your $300 workshop credit to any of these.
25 seats per cohort. 4 days. Multiple deployed apps. A methodology you will use for the rest of your career.
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