On-demand activities
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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实验 精选 Data Publishing on BigQuery for Data Sharing Partners
In this lab you will learn how to share datasets and publish datasets with BigQuery.
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实验 精选 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.
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实验 精选 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.
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实验 精选 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.
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实验 精选 BigQuery Soccer Data Analysis
Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.
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实验 精选 Derive Insights from BigQuery Data：挑戰實驗室
本挑戰實驗室會檢驗您在「Derive Insights from BigQuery Data」技能徽章實驗室所學的技能與知識。請先熟悉該實驗室的內容，再開始這個挑戰實驗室課程。
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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…
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实验 精选 BigQuery Soccer Data Analytical Insight
Learn how to create deeper analytical insights from soccer event data using BigQuery.
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课程 精选 NCAA® March Madness®: Bracketology with Google Cloud
In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.