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Data Engineering with Google Cloud 전문 자격증
Advance your career in data engineering
제공자:
Data Engineering with Google Cloud 전문 자격증Google 클라우드배울 내용
Learn the skills needed to be successful in a data engineer role
Prepare for the Professional Data Engineer certification
Learn about the infrastructure and platform services provided by Google Cloud Platform
Processing big data at scale for analytics and machine learning
귀하가 습득할 기술
이 전문 자격증 정보
87% of Google Cloud certified users feel more confident in their cloud skills.1 This program provides the skills you need to advance your career as a data engineer and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification.
You'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.
Your journey to Google Cloud certification -
1) Complete the Coursera Data Engineering Professional Certificate
2) Review other recommended learning 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 (Can be taken remotely or at a test center)
응용 학습 프로젝트
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.
학습자 경력 결과
45%
이 특화 과정을(를) 수료한 후 새로운 경력을 시작함
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인 강좌
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 일정
유연한 마감을 설정하고 유지 관리합니다.
중급 단계
You should have basic proficiency with a common query language such as SQL; experience developing applications using common programming languages.
완료하는 데 약 4개월 필요
매주 4시간 권장
영어
자막: 영어, 프랑스어, 포르투갈어 (브라질), 러시아어, 스페인어
학습자 경력 결과
45%
이 특화 과정을(를) 수료한 후 새로운 경력을 시작함
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인 강좌
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 일정
유연한 마감을 설정하고 유지 관리합니다.
중급 단계
You should have basic proficiency with a common query language such as SQL; experience developing applications using common programming languages.
완료하는 데 약 4개월 필요
매주 4시간 권장
영어
자막: 영어, 프랑스어, 포르투갈어 (브라질), 러시아어, 스페인어
이 전문 자격증에는 6개의 강좌가 있습니다.
Google Cloud Platform Big Data and Machine Learning Fundamentals
11,705개의 평가
This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.
Modernizing Data Lakes and Data Warehouses with GCP
1,615개의 평가
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
956개의 평가
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
764개의 평가
*Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization.
제공자:
Google 클라우드
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.
자주 묻는 질문
전문 분야를 완료하면 대학 학점을 받을 수 있나요?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
구독하는 경우, 취소해도 요금이 청구되지 않는 7일간의 무료 평가판을 이용할 수 있습니다. 해당 기간이 지난 후에는 환불이 되지 않지만, 언제든 구독을 취소할 수 있습니다. 전체 환불 정책 보기.
하나의 강좌에만 등록할 수 있나요?
네! 시작하려면 관심 있는 강좌 카드를 클릭하여 등록합니다. 강좌를 등록하고 완료하면 공유할 수 있는 수료증을 얻거나 강좌를 청강하여 강좌 자료를 무료로 볼 수 있습니다. 수료 과정에 있는 강좌를 구독하면, 자동으로 전체 수료 과정을 구독하게 됩니다. 학습자 대시보드에서 진행 사항을 추적할 수 있습니다.
이 강좌는 100% 온라인으로 진행되나요? 직접 참석해야 하는 수업이 있나요?
이 강좌는 100% 온라인으로 진행되므로 강의실에 직접 참석할 필요가 없습니다. 웹 또는 모바일 장치를 통해 언제 어디서든 강의, 읽기 자료, 과제에 접근할 수 있습니다.
What background knowledge is necessary?
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.
Do I need to take the courses in a specific order?
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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