關於此 專業證書

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

中級

You should have basic proficiency with a common query language such as SQL; experience developing applications using common programming languages.

英語(English)

字幕:英語(English), 法語(French), 巴西葡萄牙語, 德語(German), 西班牙語(Spanish), 日語...

您將學到的內容有

  • Check

    Learn the skills needed to be successful in a data engineer role

  • Check

    Prepare for the Professional Data Engineer certification

  • Check

    Learn about the infrastructure and platform services provided by Google Cloud Platform

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

中級

You should have basic proficiency with a common query language such as SQL; experience developing applications using common programming languages.

英語(English)

字幕:英語(English), 法語(French), 巴西葡萄牙語, 德語(German), 西班牙語(Spanish), 日語...

專業證書是什麼?

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實踐項目

將您的技能應用到實踐項目,並豐富您的簡歷內容,進而向潛在雇主展示您已為開始工作做好準備。您需要成功完成項目以獲得證書。

獲得職業證書

當完後計劃中的所有課程後,您將獲得一張證書。您可以將其在專業網絡上分享,並獲得使用職業支持資源的權限,這能夠為您開啟職業生涯提供助力。許多招聘合作夥伴認可我們的許多專業證書,並且我們還有許多合作夥伴可以幫助您準備認證考試。您可以在適用的各個專業證書頁面上找到更多信息。

how it works

此專業證書包含 6 門課程

課程1

Google Cloud Platform Big Data and Machine Learning Fundamentals

4.6
7,683 個評分
1,358 個審閱
課程2

Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

4.6
3,895 個評分
456 個審閱
課程3

Serverless Data Analysis with Google BigQuery and Cloud Dataflow

4.5
3,028 個評分
296 個審閱
課程4

Serverless Machine Learning with Tensorflow on Google Cloud Platform

4.5
2,381 個評分
284 個審閱

關於 Google 云端平台

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success....

常見問題

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  • 此课程完全在线学习,无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

  • This Professional Certificate is designed to be completed in one and a half months at 5 hours per week.

  • To get the most out of this program, learners should have basic proficiency with a common query language such as SQL; experience developing applications using a common programming language such as Python; experience with data modeling, extract, transform, load activities ; and familiarity with machine learning and/or statistics.

  • We strongly recommend you take these courses in order, beginning with Big Data and Machine Learning Fundamentals. This is especially important when completing the Qwiklabs projects, as these hands-on labs build upon the work you complete in preceding courses.

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