On-demand activities
Find the right on-demand learning activities for you. Labs are short learning activities that teach you a specific lesson by giving you direct, temporary, hands-on access to real cloud resources. Courses are longer activities, consisting of several modules made of videos, documents, hands-on labs and quizzes. Finally, quests are similar, but are usually shorter and contain only labs.
162 results
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Lab Featured BigQuery Soccer Data Ingestion
Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.
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Lab Featured Analyzing Billing Data with BigQuery
In this lab you will create datasets and tables, import data from billing reports, and conduct a variety of queries on the data using BigQuery.
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Lab Featured BigQuery Soccer Data Analysis
Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.
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Course Featured Create ML Models with BigQuery ML
Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in the following: creating and evaluating machine learning models with BigQuery ML to make data predictions. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Goo…
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Lab Featured Perform Predictive Data Analysis in BigQuery: Challenge Lab
This challenge lab tests the skills and knowledge gained from the labs in the Perform Predictive Data Analysis in BigQuery skill badge course.
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Lab Featured BigQuery Machine Learning using Soccer Data
Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.
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Lab Featured Explore an Ecommerce Dataset with SQL in BigQuery
In this lab, you learn how to use BigQuery to find data, query the data-to-insights public dataset, and write and execute queries.
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Lab Featured Analyze BigQuery data in Connected Sheets: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Analyze BigQuery data in Connected Sheets quest. You should be familiar with the content of labs before attempting this lab.
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Lab Featured Cloud Composer: Copying BigQuery Tables Across Different Locations
In this lab, you create and run an Apache Airflow workflow in Cloud Composer to export tables from a BigQuery dataset located in Cloud Storage buckets in the US to buckets in Europe, and then import those tables to a BigQuery dataset in Europe.
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Lab Featured Examining BigQuery Billing Data in Google Sheets
Use Google Workspace Connected Sheets to harness the power of BigQuery. Connected Sheets lets you access and use data analytic functions to run queries and analyze data. You could create a Sheet to access and analyze your sales data, for example, then configure your Sheet to always reflect current data.