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！
161 条结果
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实验 精选 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.
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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.
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实验 精选 Examining BigQuery Billing Data in Google Sheets
Use Google Workspace Connected Sheets to harness the power of BigQuery. Connected Sheets lets you access and use data analytic functions to run queries and analyze data. You could create a Sheet to access and analyze your sales data, for example, then configure your Sheet to always reflect current data.
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课程 精选 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…
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实验 精选 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.
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实验 精选 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.
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实验 精选 Create ML Models with BigQuery ML: Challenge Lab
This challenge lab tests your skills in developing and using machine learning models using BigQuery.
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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.
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实验 精选 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.