Who is this class for: This class is intended for Data analysts, Data scientists and Business analysts. It is also suitable for IT decision makers evaluating Google Cloud Platform for use by data scientists. This class is for people who do the following with big data: • Extracting, Loading, Transforming, cleaning, and validating data for use in analytics • Designing pipelines and architectures for data processing • Creating and maintaining machine learning and statistical models • Querying datasets, visualizing query results and creating reports


Created by:  Google Cloud

LevelIntermediate
Commitment1 week of study, 6-10 hours/week
Language
English
Hardware ReqYou'll need a Google account and credit card to sign up for the Google Cloud Platform free trial.
How To PassPass all graded assignments to complete the course.
User Ratings
4.6 stars
Average User Rating 4.6See what learners said
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Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

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Creators
Google Cloud
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.
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Ratings and Reviews
Rated 4.6 out of 5 of 189 ratings

Good intro. Now I want to dive deeper.

Gostei. Dá uma boa noção dos produtos do GCP. Para quem já conhece as tecnologias associadas é o suficiente para começar a usar. Para quem não conhece também é uma ótima oportunidade para conhecer e praticar.

great course and fundamentals of google cloud. instructor is very good!

The Course content are nicely explained in a short time, I appreciate the effort. Google's developer codelabs examples are awesome. I am a Data Engineer by my profession but after seeing these example code, I found I have to rethink the way I am organising my codes.