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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  1. 课程 精选

    Introduction to Data Analytics on Google Cloud

    This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, this course demonstrates how to go from raw…

  2. 课程 精选

    Preparing for your Professional Data Engineer Journey

    This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

  3. 实验 精选

    BigQuery Soccer Data Ingestion

    Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.

  4. 实验 精选

    BigQuery Soccer Data Analysis

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

  5. 课程 精选

    Google Cloud Big Data and Machine Learning Fundamentals

    This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

  6. 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.

  7. 实验 精选

    Troubleshooting Data Models in Looker

    In this lab, you learn how to troubleshoot and diagnose LookML code issues.

  8. 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.

  9. 实验 精选

    Looker Data Explorer - Qwik Start

    In this lab, you will create a series of visualizations from the Airports and Flights datasets and save them to a dashboard in Looker.

  10. 课程 精选

    Building Batch Data Pipelines on Google Cloud

    Data pipelines typically fall under one of the Extract and Load (EL), Extract, Load and Transform (ELT) or Extract, Transform and Load (ETL) paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transfor…