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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162 results

  1. Lab Featured

    Getting Started with BigQuery ML

    In this lab, you learn how to use BigQuery to create a machine learning model that predicts whether a visitor will make a transaction.

  2. 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.

  3. Lab Featured

    Predict Soccer Match Outcomes with BigQuery ML: Challenge Lab

    This challenge lab tests the skills and knowledge gained from the labs in the Predict Soccer Match Outcomes with BigQuery ML skill badge course.

  4. Lab Featured

    Integrate BigQuery Data and Google Workspace using Apps Script: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Integrate BigQuery Data and Google Workspace using Apps Script quests. You should be familiar with the content of labs before attempting this lab.

  5. Lab Featured

    ETL Processing on Google Cloud Using Dataflow and BigQuery (Python)

    In this lab, you build several data pipelines that ingest and transform data from a publicly available dataset into BigQuery.

  6. 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…

  7. 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.

  8. Lab Featured

    Exploring NCAA Data with BigQuery

    Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.

  9. Course Featured

    Engineer Data for Predictive Modeling with BigQuery ML

    Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; buil…

  10. Lab Featured

    Predict Visitor Purchases with a Classification Model in BigQuery ML

    In this lab, you use an available ecommerce dataset to create a classification (logistic regression) model in BigQuery ML that predicts customers' purchasing habits.