Udemy - Google Cloud Professional Data Engineer - Get Certified 2020

[ FreeCourseWeb.com ] Google Cloud Professional Data Engineer: Get Certified 2020



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MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 110 lectures (5 hour, 48 mins) | Size: 1.43 GB

Build scalable, reliable data pipelines, databases, and machine learning applicaitons.

What you'll learn



How to pass the Google Cloud Professional Data Engineer Exam

Build scalable, reliable data pipelines

Choose appropriate storage systems, including relational, NoSQL and analytical databases

Apply multiple types of machine learning techniques to different use cases

Deploy machine learning models in production

Monitor data pipelines and machine learning models

Design scalable, resilient distributed data intensive applications

Migrate data warehouse from on-premises to Google Cloud

Evaluate and improve the quality of machine learning models

Grasp fundamental concepts in machine learning, such as backpropagation, feature engineering, overfitting and underfitting.



Requirements



Understanding of basic cloud computing concepts such as virtual machines and databases.

One year or more experience working with data management or data analysis



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