Sessions

Modeling & Inference
Know Exactly When an MLB Player Starts to DeclineModel a hitter's aging curve and say, with a range, when the…Hierarchical Modeling using PyMC in BaseballRate every hitter on a roster, including the one with twelve plate…Variational Inference in SportsFit Bayesian models across a whole roster with variational…The Injury Report ProblemRun a complete multiple-imputation workflow on a sports dataset…What Fills the SeatsFit ridge, lasso and elastic net on the same attendance data, tune…MCMC in PracticeTell a sampler that ran clean from a model that is actually right…
Apps & Dashboards
The Armchair ScoutBuild a player-similarity engine from raw stats and put it in an…Kickoff to Production in MinutesTake a sports analytics Shiny app from a blank folder to production…The No-Look PassShare reactive state between Shiny modules with the patterns that…The Farm SystemStructure a Shiny app into independent modules you can change one…
Production & Deployment
Game-Day AutomationSchedule a GitHub Actions workflow that pulls, processes, reports…Dockerizing a Match-Day Shiny App So It Runs AnywherePackage a Shiny app as a Docker image, run it with Compose, and…
LLMs & AI
Build an AI Agent That Turns Cricket Commentary Into DataBuild an agent that turns a stream of cricket commentary into…Ask the Box Score AnythingPoint a chat interface at your own sports data and answer questions…
Workshops
The Pit StopKeep a shared Shiny app responsive for everyone while one user's…Build a Cycling Analysis Board Without Writing CodeBuild a cycling analysis board, stage by stage, without writing a…Build a 3D Athlete from a Single PhotoGo from one phone clip to a 3D skeleton, an avatar and joint angles…

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Dockerizing a Match-Day Shiny App So It Runs Anywhere
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Courses

Becoming a BayeZian Bundle
Becoming a BayeZianBuild real Bayesian models in Stan from the ground up , the skill…Becoming a BayeZian IIShip production-grade Bayesian models , survival analysis, Gaussian…
The Complete Shiny Engineering Stack
ProductioniZing Shiny ApplicationsTake Shiny apps from prototype to production , modules, testing…CustomiZing WidgetZBuild custom Shiny inputs, outputs, and htmlwidgets from scratch …Mobile StructureZBuild installable mobile Shiny apps and PWAs with shinyMobile , a…
Foundations and machine learning
FoundationZ of Data ScienceThe on-ramp to Python for analytics , core syntax, data wrangling…BreeZing Through the TidyverseMaster employer-ready R , data wrangling, visualization, and…Python MachineZ: ML in SportsBuild and evaluate the machine-learning models sports teams…SynergiZing ML & LLMs in RGo from a tidymodels ML pipeline to a deployed, evaluated RAG app…

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Becoming a BayeZian, I and II
Both Bayesian courses together: the model you can defend, then the one that scales.
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Programs

Career programs
Performance Science AI EngineerPose from video, workload and injury models, and the apps that carry them.Shiny and Production AppsApps a whole staff can use at once: modular, fast, packaged and deployed.Bayesian Sports ModelingHierarchical models you fit, check and explain to someone who does not code.Sports Analytics Front Office TrackThe questions a front office asks, answered with a model and a memo.
Junior AI Data ScientistFrom little or no code to models and LLM tools you built and can explain.Advanced AI Data ScientistLLM tools and models you can put into production and defend.The High School MasterclassFor schools: for students and their teachers, the methods at the right altitude.

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PracticeReal datasets from the sessions, three questions each.SkillsFiles you can drop into a project today.Cheat sheetsOne page each, the method on a desk.JobsThe postings we are reading now, mapped to sessions.CareerFour stages, and what to build first.
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AboutWho teaches here, and why sport.TeamThe practitioners who teach here, and what they teach.ApproachThe tools in the room from the first minute.ConsultingA 20-minute call for teams and partners.

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Know Exactly When an MLB Player Starts to Decline Build an AI Agent That Turns Cricket Commentary Into Data Hierarchical Modeling using PyMC in Baseball Variational Inference in Sports The Armchair Scout Game-Day Automation The Injury Report Problem Kickoff to Production in Minutes The No-Look Pass Ask the Box Score Anything The Farm System What Fills the Seats MCMC in Practice Dockerizing a Match-Day Shiny App So It Runs Anywhere Workshop · The Pit Stop Workshop · Build a Cycling Analysis Board Without Writing Code Workshop · Build a 3D Athlete from a Single Photo
FoundationZ of Data Science BreeZing Through the Tidyverse ProductioniZing Shiny Applications CustomiZing WidgetZ Mobile StructureZ Becoming a BayeZian Becoming a BayeZian II Python MachineZ: ML in Sports SynergiZing ML & LLMs in R
Performance Science AI Engineer Shiny and Production Apps Bayesian Sports Modeling Sports Analytics Front Office Track Junior AI Data Scientist Advanced AI Data Scientist The High School Masterclass
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A page of the neural networks chapter: a basketball court drawn as a three-dimensional chart

The Field Book · free chapter

The neural networks chapter of The Field Book, free.

Build a neural network by hand, from one neuron to full layers, on a season of basketball play-by-play.
Train it live in your browser, break it on purpose, and repair it.
Check whether its number is honest, then hand it to a coach with its limits attached.

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We've teamed up with AthlyticZ to supercharge how we use data science and statistics to impact our sports. More clarity in the numbers means bigger results for our athletes.

Bryce MurphyDirector of Performance Science and Innovation, IMG Academy

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, and the practical projects have immediate impact to students.

Bill Geivett, M.Ed.President, IMA Team

The sports industry moves fast. Managing the pace of evolving technology, data, and AI isn't optional - it's imperative. Our Analytics team was looking for a partner to meet us where we are, to help us in the continued investment of our people and capabilities without pulling us away from the work that matters. AthlyticZ delivers exactly that: a structured, practitioner-led platform that fits how modern sports analytics groups actually operate.

Adam UnesSenior Director, Analytics, Excel Sports Management