Exploring NCAA Data with BigQuery
Updated on
Course overview
- Provider
- Coursera
- Course type
- Free online course
- Level
- Beginner
- Deadline
- Flexible
- Duration
- 45 hours
- Certificate
- Paid Certificate Available
- Course author
- Google Cloud Training
Description
BigQuery is Google's fully managed, NoOps, low-cost analytics database. With BigQuery you can query terabytes and terabytes of data without managing infrastructure or needing a database administrator. BigQuery uses SQL and takes advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.We have a newly available dataset for NCAA Basketball games, teams, and players. The game data covers play-by-play and box scores back to 2009, as well as final scores back to 1996. Additional data about wins and losses goes back to the 1894-5 season in some teams' cases.
In this Google Cloud Lab, we will find and query the NCAA dataset using BigQuery.
Note: you will have timed access to the online environment. You will need to complete the lab within the allotted time.
