关于此 专业证书

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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.
学生职业成果
45%
完成此 专项课程 后开始了新的职业。
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
中级
完成时间大约为4 个月
建议 4 小时/周
英语(English)
字幕:英语(English), 西班牙语(Spanish)
学生职业成果
45%
完成此 专项课程 后开始了新的职业。
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
中级
完成时间大约为4 个月
建议 4 小时/周
英语(English)
字幕:英语(English), 西班牙语(Spanish)

此专业证书包含 6 门课程

课程1

课程 1

Google Cloud Platform Big Data and Machine Learning Fundamentals

4.6
11,321 个评分
2,021 条评论
课程2

课程 2

Modernizing Data Lakes and Data Warehouses with GCP

4.7
1,459 个评分
193 条评论
课程3

课程 3

Building Batch Data Pipelines on GCP

4.5
871 个评分
113 条评论
课程4

课程 4

Building Resilient Streaming Analytics Systems on GCP

4.6
710 个评分
85 条评论

提供方

Google 云端平台 徽标

Google 云端平台

常见问题

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  • 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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