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Data Engineering with Google Cloud 专业证书
Advance your career in data engineering
提供方
Data Engineering with Google Cloud 专业证书Google 云端平台您将学到的内容有
Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.
Employ BigQuery to carry out interactive data analysis.
Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
Choose between different data processing products on Google Cloud.
您将获得的技能
关于此 专业证书
87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification.
Here's what you have to do
1) Complete the Coursera Data Engineering Professional Certificate
2) Review other recommended resources for the Google Cloud Professional Data Engineer certification exam
3) Review the Professional Data Engineer exam guide
4) Complete Professional Data Engineer sample questions
5) Register for the Google Cloud certification exam (remotely or at a test center)
Applied Learning Project
This professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.
应用的学习项目
This Professional Certificate incorporates hands-on labs using our Qwiklabs platform.
These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.
学生职业成果
41%
完成此 专项课程 后开始了新的职业。
20%
加薪或升职。
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
You should have basic proficiency with a common query language such as SQL; experience developing applications using common programming languages.
完成课程大约需要 4 个月
建议进度：4 小时/周
英语（English）
字幕：英语（English）, 法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 西班牙语（Spanish）
学生职业成果
41%
完成此 专项课程 后开始了新的职业。
20%
加薪或升职。
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
You should have basic proficiency with a common query language such as SQL; experience developing applications using common programming languages.
完成课程大约需要 4 个月
建议进度：4 小时/周
英语（English）
字幕：英语（English）, 法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 西班牙语（Spanish）
此专业证书包含 6 门课程
Google Cloud Platform Big Data and Machine Learning Fundamentals
12,773 个评分
This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud.
Modernizing Data Lakes and Data Warehouses with GCP
1,994 个评分
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.
Building Batch Data Pipelines on GCP
1,201 个评分
Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud Platform using Qwiklabs.
Building Resilient Streaming Analytics Systems on GCP
937 个评分
*Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization.
提供方
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.
常见问题
完成专项课程后我会获得大学学分吗？
Can I just enroll in a single course?
我可以只注册一门课程吗？
此课程是 100% 在线学习吗？是否需要现场参加课程？
What background knowledge is necessary?
Do I need to take the courses in a specific order?
还有其他问题吗？请访问 学生帮助中心。
