按照您自己的方式探索 Google Cloud 培训。

Google Cloud 提供 980 多项学习活动供您选择,我们设计的目录完整全面,充分考虑了您的需求。该目录包含各种可供您选择的活动形式,既有简短的单个实验,也有由视频、文档、实验和测验组成的多模块课程,您可以根据需求进行选择。我们的实验可为您提供实际云资源的临时凭据,以便您通过实际操作掌握 Google Cloud 知识。您可以跟踪、衡量和了解自己的 Google Cloud 学习进度,完成学习活动即可赢取徽章!

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368 条结果

  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…