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.

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316 results

  1. Lab Featured

    Getting Started with BigQuery GIS for Data Analysts

    BigQuery GIS allows you to easily analyze and visualize geospatial data in BigQuery.

  2. 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.

  3. Lab Featured

    Data Publishing on BigQuery for Data Sharing Partners

    In this lab you will learn how to share datasets and publish datasets with BigQuery.

  4. 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.

  5. Lab Featured

    Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion

    In this lab you’ll be working with Wrangler directives which are used by the Wrangler plugin, the “Swiss Army Knife” of plugins in the Data Fusion platform, so that your transformations are encapsulated in one place and we can group transformation tasks into manageable blocks.

  6. Lab Featured

    BigQuery Soccer Data Analysis

    Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.

  7. Lab Featured

    Big Data Analysis to a Slide Presentation

    This lab leverages two Google developer platforms: G Suite and Google Cloud Platform (GCP). It uses GCP's BigQuery API, Sheets, and Slides to collect, analyze and present data.

  8. Lab Featured

    Exploring Dataset Metadata Between Projects with Data Catalog

    In this lab, you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

  9. Course Featured

    Modernizing Data Lakes and Data Warehouses with Google Cloud

    The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a success…

  10. Lab Featured

    BigQuery Soccer Data Analytical Insight

    Learn how to create deeper analytical insights from soccer event data using BigQuery.