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Introducing...Data Science for Sports Enthusiasts...ASYNC
“Unleashing Data Science through the Playbook of Sports Analytics"
"Embark on a comprehensive learning journey at AthlyticZ Academy, where we offer courses in Python, R, Shiny Applications, Stan Programming, and beyond! Master the tools and techniques essential for data science and sports analytics."
“for those seeking flexibility, we have the perfect solution..." Introducing… Data Science for Sports Enthusiasts...ASYNC
ABOUT US
athlyticz
Our team at AthlyticZ has collaborated with experts from both industry and academia to curate the most comprehensive courses in R, Python, Shiny, Stan, and more.
With a custom-built, state-of-the-art learning management system and a dedicated team of cloud engineers who are best known for powering Berkeley’s data science program, we ensure that navigating through our courses is seamless and intuitive, allowing you to focus on mastering data science through the lens of sports analytics.
10+
courses
1000+
modules
1000+
trusted by students
200+
Reviewed by
industry Professionals
Athlyticz Senior Members
MICHAEL S. CZAHOR, PHD
PRESIDENT
Special Assistant, Analytics @ Marlins
Former Principal Quantitative Analyst @ Tigers
Former Lead Quantitative Analyst @ Phillies
PhDs Statistics and Wind Engineering @ ISU
VEERLE VAN LEEMPUT
SENIOR SHINY INSTRUCTOR
Director @ Hypebright BV
Former Head of Data Science @ Analytic Health
MS Data Science @ Tilburg University
DAVID GRANJON, PHD
SENIOR CURRICULUM ADVISOR
Lead Shiny @Cynkra GmbH
RInterface Maintainer
Author of Outstanding Interfaces with Shiny
PhD in Applied Math @ Pierre & MC University
SPENCER BARD
HEAD OF TECHNOLOGY
Product & Engineering Lead @ Outschool
Former Lead Software Engineer @ Phillies
BS in Computer Science @ MIT
SCOTT SPENCER, PHD
SENIOR BAYESIAN INSTRUCTOR
Applied Analytics Lecturer @ Columbia University Consulting Data Scientist @ Stan Core Developers
PhD in Jurisprudence @ University of Illinois UC
STEPHANIE INSLER
SENIOR PERFORMANCE SCIENCE ADVISOR
CEO @S3D Sidekick
Former COO @ Simi Reality Motion
Authored Publications for MLB & FIFA
Consulted for 13 MLB Teams
SAIEM GILANI
HEAD OF DATA
Founder/Lead Developer @ Sports Dataverse
Senior Data Scientist @ Hawkeye Innovations
Former Senior Data Scientist @ Swish Analytics
Former Director Data Sci. & Eng. @ Houston Rockets
MS Analytics @ Georgia Institute of Technology
PAUL SABIN, PHD
SENIOR R INSTRUCTOR
Senior Sports Analytics Fellow @ Wharton (Upenn)
Former VP Football Analytics @ Sumer Sports
Former Senior Data Scientist @ ESPN
PhD in Statistics @Virginia Tech
PATRICK MCFARLANE
SENIOR PYTHON INSTRUCTOR
Director, Predictive Modeling @ Phillies
Maintainer of Basketball Relativity Github
Former Data Engineer @ Bloomberg LP
MS in Aerospace Engineering @ MIT
Transforming Data Skills Into Winning Decisions
Online Courses
Discover the power of data-driven decisions with our expertly crafted online courses. Whether you're a beginner or an advanced learner, our courses are designed to elevate your data science skills through engaging real-world applications.
Athlyticz+ (Fall 2024)
Dive deep into the heart of data science with our comprehensive Athlyticz+ Membership, featuring monthly case studies directly through our customized learning system. From data collection techniques to advanced analytics, each module is structured to equip you with the knowledge and tools needed to tackle complex sports analytics problems.
Free Industry Consultation
Ready for your company take the next step in data science? Schedule a free consultation with our team to discuss your goals and how Athlyticz can help you achieve them. Let's collaborate to build a data-driven strategy that drives success for your business.
"Athlyticz Academy is a game-changer in the world of data science education.”
Our platform offers an extensive range of courses in Python, R, Shiny Applications, Stan Programming, and mored, tailored specifically for sports analytics, with hands-on learning, engaging curricula, and industry expertise, Athlyticz Academy empowers learners to excel in data science while bridging the gap between passion for sports and cutting-edge technology."
- Michael Czahor, President/Founder @ Athlyticz
Ready to learn Data science Using sports?
Featured Courses
Officially Live!
Productionizing Shiny Applications
Dive in with top Shiny expert Veerle van Leemput and learn everything about Shiny: from building your first app to testing, deployment, mastering advanced techniques, and harnessing the full power of interactivity in your Shiny apps.
Customizing Widgetz
Upskill your Shiny mastery with expert Veerle van Leemput and create outstanding user interfaces with Shiny. During this course, you will build your own Shiny packages, develop innovative widgets, and delve into advanced customization techniques to elevate your applications to the next level.
Becoming a Bayezian
Join Columbia Professor and Stan language collaborator, Dr. Scott Spencer, and embark on a transformative journey where you'll delve into essential techniques and concepts crucial for mastering Bayesian analysis using the Stan programming language.
Breezing through the Tidyverse
Join well-known sports analytics guru, Dr. Paul Sabin, and explore fundamentals of R programming through sports analytics. Master essential concepts and techniques to enhance your data analysis capabilities. This is a recommended course for our Becoming a Bayezian series with Dr. Scott Spencer.
Foundationz of Data science
Join Evan Callaghan and explore fundamentals of Python programming through sports analytics. Master essential concepts and techniques to enhance your data analysis capabilities. This is a recommended course for our advanced machine learning course with predictive modeling expert, Pat McFarlane.
Tools and Technologiez
Immerse yourself in our Tools and TechnologieZ course led by S3D Sidekick and unlock the secrets to leveraging cutting-edge biomechanics principles, motion capture, force plates, and other sports tech innovations, all while mastering Python for real-world applications.
Launching Fall 2024
Becoming a Bayezian Pt. 2
Join Columbia Professor and Stan language collaborator, Dr. Scott Spencer, for the second part of our Bayesian series taught using the Stan programming language. This advanced course builds on Part I and covers a wide array of topics, including modeling changes over time and space, advanced hierarchical models, robust inference techniques, regression discontinuity analysis, and practical applications like handling missing data and parameter-space transformations. Dive deep into Bayesian methodologies essential for complex modeling challenges, ensuring you master advanced techniques crucial for effective Bayesian analysis.
Mobile Structurez
Join Shiny expert Veerle van Leemput for a specialized course on mobile development tailored for Shiny applications. In this course, you’ll learn all about the latest version of shinyMobile, including how it was developed from scratch! Discover all the features needed to create a stunning mobile application and turn it into a Progressive Web App, allowing your app to be installed on any iOS and Android device.
Python Machinez in sports
After kickstarting your Python journey with Evan in the Foundations of Data Science, get ready to join Pat in the 'Python MachineZ in Sports' course to elevate your machine learning skills. This advanced course covers a diverse array of techniques, including linear regression and the machine learning pipeline, generalized linear models, generalized additive models, tree-based methods, introduction to probabilistic programming (Bayesian statistics) using PyMC, and much more.
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