Exploring NCAA Data with BigQuery
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 How the NCAA is using Google Cloud to tap into decades of sports data.
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- Level Foundation
- Duration 1 hour
- Course by Google Cloud
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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 How the NCAA is using Google Cloud to tap into decades of sports data.Modules
Exploring NCAA Data with BigQuery
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- Exploring NCAA Data with BigQuery
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Dive into NCAA basketball data with BigQuery in this Foundation-level, self-paced lab on Coursera. Explore game plays from 2009 and scores from 1996, leveraging Google Cloud's powerful tools. Ideal for Data Science & AI enthusiasts, this 1-hour course offers starter and professional subscription options.
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