- Level Foundation
- Duration 1 hour
- Course by Google Cloud
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Offered by
About
This is a self-paced lab that takes place in the Google Cloud console. Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables. Information access uses multiple formats, and BigQuery makes working with multiple data sources simple. In this lab you will get started with sports data science by importing external sports data sources into BigQuery tables. This will give you the basis for building more sophisticated analytics in subsequent labs.Modules
BigQuery Soccer Data Ingestion
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- BigQuery Soccer Data Ingestion
Auto Summary
Dive into the world of sports data science with the self-paced lab "BigQuery Soccer Data Ingestion." Offered by Coursera, this foundational course is perfect for those eager to explore data science within the domain of soccer. Under the expert guidance provided through the Google Cloud console, you'll learn to import various soccer data sets—covering matches, teams, players, and match events—into BigQuery tables. The course focuses on simplifying the integration of multiple data sources, a crucial skill for any budding data scientist. With a duration of just one hour, it's an efficient way to gain practical experience. Available under the Starter subscription, this lab is ideal for beginners keen to build a strong foundation for more advanced analytics in future projects. Join now to kickstart your journey into sports data science!

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