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所在平台: Coursera专项课程 课程类别: 其他类别 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/gcp-data-engineering
课程评论：没有评论
课程名称：GCP专业证书的数据工程 概述：本课程旨在提供发展数据工程师职业所需的技能，并为获得行业认可的Google Cloud专业数据工程师认证做好准备。通过演示、实操和实验室的结合，学员将学习如何通过收集、转换和发布数据，实现数据驱动的决策。此外，课程还通过多个Qwiklabs项目提供实际操作经验，帮助学员掌握设计、构建和运行数据处理系统及实施机器学习模型的关键工作技能。 成功完成课程后，学员将获得结业证书，能够在专业网络及潜在雇主面前展示自己的能力。如果希望获得Google Cloud认证并证明在Google Cloud平台上设计和构建数据处理系统及运行机器学习模型的能力，学员需注册并通过Google Cloud官方认证考试。更多注册信息及准备资源请访问cloud.google.com/certifications。 课程大纲： 1. **现代化数据湖和数据仓库** 重点介绍数据湖和数据仓库在数据管道中的应用案例。 [课程链接](https://www.coursera.org/learn/data-lakes-data-warehouses-gcp) 2. **在Google Cloud上构建批处理数据管道** 讲解数据管道的不同类型，如提取和加载(EL)、提取、加载和转换(ELT)等。 [课程链接](https://www.coursera.org/learn/batch-data-pipelines-gcp) 3. **在Google Cloud上构建弹性流处理分析系统** 着重于流数据处理的应用，帮助企业获得实时指标。 [课程链接](https://www.coursera.org/learn/streaming-analytics-systems-gcp) 4. **在Google Cloud上的智能分析、机器学习和人工智能** 介绍如何将机器学习融入数据管道，提高从数据中提取洞察的能力。 [课程链接](https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp) 5. **为您的专业数据工程师之旅做好准备** 帮助学员制定专业数据工程师（PDE）认证考试的学习计划。 [课程链接](https://www.coursera.org/learn/preparing-cloud-professional-data-engineer-exam) 该课程适合希望在数据工程领域发展职业生涯的人士，提供了全面的理论知识与实践经验。
Course Link: https://www.coursera.org/learn/data-lakes-data-warehouses-gcp
Name:Modernizing Data Lakes and Data Warehouses with Google Cloud
Description:Offered by Google Cloud. The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for ... Enroll for free.
Course Link: https://www.coursera.org/learn/batch-data-pipelines-gcp
Name:Building Batch Data Pipelines on Google Cloud
Description:Offered by Google Cloud. Data pipelines typically fall under one of the Extract and Load (EL), Extract, Load and Transform (ELT) or Extract, ... Enroll for free.
Course Link: https://www.coursera.org/learn/streaming-analytics-systems-gcp
Name:Building Resilient Streaming Analytics Systems on Google Cloud
Description:Offered by Google Cloud. Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics ... Enroll for free.
Course Link: https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp
Name:Smart Analytics, Machine Learning, and AI on Google Cloud
Description:Offered by Google Cloud. Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course ... Enroll for free.
Course Link: https://www.coursera.org/learn/preparing-cloud-professional-data-engineer-exam
Name:Preparing for your Professional Data Engineer Journey
Description:Offered by Google Cloud. This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. ... Enroll for free.
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.
拥有GCP专业证书的数据工程：该计划提供了您发展数据工程职业所需的技能，并建议进行培训以支持您为行业认可的Google Cloud Professional数据工程师认证做准备。通过演示，演示和实验的组合，您将可以通过收集，转换和发布数据来实现数据驱动的决策；您将通过许多动手的Qwiklabs项目获得现实世界的经验。 您还将有机会练习关键的工作技能，包括设计，构建和运行数据处理系统；并实施机器学习模型。 成功完成该计划后，您将获得结业证书，可以与您的专业网络和潜在雇主分享。 如果您想获得Google Cloud认证，并证明自己在Google Cloud Platform上设计和构建数据处理系统并运行机器学习模型的能力，则需要注册并通过Google Cloud官方认证考试。您可以在cloud.google.com/certifications上找到有关如何注册的更多详细信息和其他资源以支持您的准备工作。