按需活动

Google Cloud 根據您的需求規劃了全方位的課程內容,內含超過 980 項學習活動,並涵蓋多種活動型態,您可自由選擇。您可以選擇簡短的個別研究室,或是包含影片、文件、研究室和測驗的多單元課程。在研究室中,您可以透過臨時憑證實際使用雲端資源,直接累積 Google Cloud 實作經驗。完成課程可獲得徽章,讓您輕鬆掌握、追蹤及評估自己的 Google Cloud 學習成果!

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360 条结果

  1. 实验 精选

    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.

  2. 实验 精选

    BigQuery Machine Learning using Soccer Data

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

  3. 实验 精选

    Data Catalog: Qwik Start

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

  4. 实验 精选

    Build a Data Warehouse with BigQuery: Challenge Lab

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

  5. 实验 精选

    Loading Data into Cloud SQL

    In this lab, you import data from CSV text files into Cloud SQL and then carry out some basic data analysis using simple queries.

  6. 实验 精选

    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.

  7. 课程 精选

    BigQuery Basics for Data Analysts

    Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query teraby…

  8. 实验 精选

    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.

  9. 课程 精选

    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. 实验 精选

    Troubleshooting and Solving Data Join Pitfalls

    In this lab, you explore the relationships between data tables and the pitfalls to avoid when joining them together.