Discover Google Cloud training your way

With 700+ learning activities to choose from, Google Cloud has designed our comprehensive catalog with you in mind. The catalog consists of a variety of activity formats for you to pick from. Choose from bite-size individual labs or multi-module courses that consist of videos, documents, labs, and quizzes. Our labs give you temporary credentials to actual cloud resources, so you can learn Google Cloud using the real thing. Earn badges for what you complete, define, track, and measure your success with Google Cloud!

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160 results

  1. Lab Featured

    Troubleshooting Common SQL Errors with BigQuery

    In this lab, you use the BigQuery query editor and query validator to troubleshoot common SQL syntax and logic errors.

  2. 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.

  3. 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.

  4. 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.

  5. Lab Featured

    Derive Insights from BigQuery Data: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Derive Insights from BigQuery Data skill badge. You should be familiar with the content of the labs before attempting this lab.

  6. 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.

  7. 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.

  8. Lab Featured

    Create ML Models with BigQuery ML: Challenge Lab

    This challenge lab tests your skills in developing and using machine learning models using BigQuery.

  9. 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.

  10. Lab Featured

    BigQuery Soccer Data Analysis

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