Exploring NCAA Data with BigQuery
About this Course
This is a self-paced lab that takes place in the Google Cloud console. Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch
Related Online Courses
This Specialization is intended for machine learning researchers and practitioners who are seeking to develop practical skills in the popular deep learning framework TensorFlow.\\n\\nThe first... more
This course provides a first look at the R statistical environment. Beginning with step-by-step instructions on downloading and installing the software, learners will first practice navigating R... more
DeFi and the Future of Finance is a four course learning experience. DeFi or Decentralized Finance is a new technology whereby users interact as peers with algorithms or smart contracts rather than... more
This course provides a comprehensive introduction to data analysis, focusing on the understanding and interpretation of data sets. Students will learn to describe data sets, characterize variables,... more
This course aims to equip executives/ Leaders with the Skills, Tactics and Strategies that are necessary to develop and implement effective retention strategies within their organizations.... more