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This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects. You'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models. Upon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers. If you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.
學生職業成果
45%
完成此 專項課程 後開始了新的職業。
可分享的證書
完成後獲得證書
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
完成時間大約為4 個月
建議 4 小時/週
英語(English)
字幕:英語(English), 西班牙語(Spanish)
學生職業成果
45%
完成此 專項課程 後開始了新的職業。
可分享的證書
完成後獲得證書
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
完成時間大約為4 個月
建議 4 小時/週
英語(English)
字幕:英語(English), 西班牙語(Spanish)

此專業證書包含 6 門課程

課程1

課程 1

Google Cloud Platform Big Data and Machine Learning Fundamentals

4.6
11,064 個評分
1,978 條評論
課程2

課程 2

Modernizing Data Lakes and Data Warehouses with GCP

4.7
1,346 個評分
175 條評論
課程3

課程 3

Building Batch Data Pipelines on GCP

4.5
799 個評分
104 條評論
課程4

課程 4

Building Resilient Streaming Analytics Systems on GCP

4.6
641 個評分
75 條評論

提供方

Google 云端平台 徽標

Google 云端平台

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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。

  • 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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