Connecticut Sports Analytics Symposium csas logo
Connecticut
Sports Analytics
Symposium
  • Home
  • Symposiums
  • Education
  • Media
  • Data Challenges

Education Materials

The materials from the past UCSAS training workshops are publicly available.

Baseball Analytics with R

  • 2022 by Patrick Cummins
  • 2020/2019 by Zhe Wang

Basketball Analytics with R

  • 2025 by Addison McGhee
  • 2024 by Mathew Chandy
  • 2021/2020 by Jackson Lautier

Causal Inference

  • 2026 by Ying Zhou
  • 2025 by Shinpei Nakamura Sakai
  • 2024 by Dr. Kevin Cummiskey

Data Visualization with R

  • 2026 by Lucy Liu
  • 2025 by Rahul Manna
  • 2020/2019 by Yiming Zhang

Docker

  • 2026 by Rahul Manna
  • 2025 by Zuri Hunter

Football Analytics

  • 2026 by Nicholas Pfeifer

Introduction to Python

  • 2026 by Matthew Venzie
  • 2025/2024/2022 by Charitarth Chugh
  • 2021 by Surya Teja Eada

Introduction to Project Management with Git

  • 2026 by Michael Agostino

Introduction to R

  • 2026 by Tyler Adams
  • 2024/2022 by Fusheng Yang
  • 2025 by Lucy Liu
  • 2021/2020/2019 by Tuhin Sheikh

Hockey Analytics with R

  • 2022 by Venkata Patchigolla
  • 2021 by Meghan Hall

Formula 1 Analytics with Python

  • 2024 by Abhiram Gunti

Tennis Analytics

  • 2025 by Jaden Astle

TensorFlow

  • 2022 by Pranav Tavildar
  • 2021 by Jun Jin

Tracking Data

  • 2026 by Quang Nguyen
  • 2025 by Quang Nguyen

Webscraping

  • 2025 by Melanie Desroches
  • 2024 by Tyler Hinrichs
  • 2021 by Lucas Godoy
  • 2020 by Yaqiong Yao
  • 2019 by Wanwan Xu

© 2019-present CT Statistical Data Science Lab