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.
288 results
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Lab Featured Visualizing Billing Data with Looker Studio
In this lab, you will harness the power of Looker Studio, where you will learn how to build billing graphs and charts so you can slice and dice your Google Cloud bill the way you want.
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Lab Featured Automating your BigQuery Data Pipeline with Cloud Dataprep
In this lab, you will examine how Dataprep can be used on complicated data structures in BigQuery.
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Lab Featured Offloading Financial Mainframe Data into BigQuery and Elastic Search
In this hands-on lab, you will import synthetic data* representing financial records offloaded from a bank’s mainframe.
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Course Featured Perform Predictive Data Analysis in BigQuery
Earn the intermediate skill badge by completing the Perform Predictive Data Analysis in BigQuery course, where you will gain practical experience on the fundamentals of sports data science using BigQuery, including how to create a soccer dataset in BigQuery by importing CSV and JSON files; harness the power of Big…
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Lab Featured Manage Data Models in Looker: Challenge Lab
In this lab, you test your skills related to managing data models in Looker. You are expected to use best practices to support LookML project health and optimize queries for performance.
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Lab Featured Prepare Data for ML APIs on Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Prepare Data for ML APIs on Google Cloud course. You should be familiar with the content of the labs before attempting this lab.
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Lab Featured Engineer Data for Predictive Modeling with BigQuery ML: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Engineer Data for Predictive Modeling with BigQuery ML skill badge. You should be familiar with the content of labs before attempting this lab.
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Lab Featured Validate Data in Google Sheets
Ensure that your data is valid and prepared for analysis using Google Sheets features and functions to organize, standardize, and clean data.
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Lab Featured Use Go Code to Work with Google Cloud Data Sources
In this lab you explore the basics of Go (golang) by compiling and testing a Go app interactively, deploying it to App Engine, then access data in BigQuery and Firestore.
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Lab Featured Filtering and Sorting Data in Looker
In this lab, you will learn how to filter and sort data, and create looks with Looker.