On-Demand-Aktivitäten

Finden Sie die für Sie richtigen On-Demand-Lernaktivitäten. Labs sind kurze Lernaktivitäten, in denen Ihnen über einen direkten, temporären, praxisorientierten Zugriff auf echte Cloud-Ressourcen spezifische Inhalte vermittelt werden. Kurse sind längere Aktivitäten, die aus mehreren Modulen mit Videos, Dokumenten, praxisorientierten Labs und Quizaufgaben bestehen. Aufgabenreihen sind ähnlich, aber in der Regel kürzer und enthalten nur Labs.

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164 Ergebnisse

  1. Lab Tipp

    BigQuery Machine Learning using Soccer Data

    Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.

  2. Lab Tipp

    BigQuery: Qwik Start - Command Line

    This hands-on lab shows you how to query public tables and load sample data into BigQuery using the Command Line Interface. Watch the short videos Get Meaningful Insights with Google BigQuery and BigQuery: Qwik Start - Qwiklabs Preview.

  3. Lab Tipp

    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.

  4. Lab Tipp

    Build a Data Warehouse with BigQuery: Challenge Lab

    This challenge labs tests your skills in building a data warehouse using BigQuery.

  5. Lab Tipp

    Create ML Models with BigQuery ML: Challenge Lab

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

  6. Lab Tipp

    Build a BI Dashboard Using Looker Studio and BigQuery

    In this lab, you will learn how to build a BI dashboard with Looker Studio as the front end, powered by BigQuery on the back end.

  7. Lab Tipp

    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.

  8. Lab Tipp

    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.

  9. Lab Tipp

    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.

  10. Lab Tipp

    Working with JSON, Arrays, and Structs in BigQuery

    In this lab, you work with semi-structured data (ingesting JSON, Array data types) inside of BigQuery. You practice loading, querying, troubleshooting, and unnesting various semi-structured datasets.