Data Engineering with Google Cloud

Completed by Vanessa Sabino

March 3, 2020

2 weeks of study, 6-10 hours/week average per course

Course Certificates Completed

Smart Analytics, Machine Learning, and AI on GCP

Modernizing Data Lakes and Data Warehouses with GCP

Building Resilient Streaming Analytics Systems on GCP

Google Cloud Platform Big Data and Machine Learning Fundamentals

Building Batch Data Pipelines on GCP

Preparing for the Google Cloud Professional Data Engineer Exam

View certificate for Vanessa Sabino, Data Engineering with Google Cloud, offered through Coursera. This six-course accelerated Professional Certificate is designed for data professionals who are responsible for designing, building, analyzing, and optimizing big data solutions. Learners carried out serverless data analysis and productionize machine learning models.  Learners integrated prior technical skills into practical skills for the job role of a Data Engineer.

Course Certificates

Earned after completing each course in the Specialization

Smart Analytics, Machine Learning, and AI on GCP

Google Cloud

Taught by: Google Cloud Training

Completed by: Vanessa Sabino by February 29, 2020

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Modernizing Data Lakes and Data Warehouses with GCP

Google Cloud

Taught by: Google Cloud Training

Completed by: Vanessa Sabino by February 17, 2020

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Building Resilient Streaming Analytics Systems on GCP

Google Cloud

Taught by: Google Cloud Training

Completed by: Vanessa Sabino by February 22, 2020

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Google Cloud Platform Big Data and Machine Learning Fundamentals

Google Cloud

Taught by: Google Cloud Training

Completed by: Vanessa Sabino by February 15, 2020

2 weeks of study, 6-10 hours/week

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Building Batch Data Pipelines on GCP

Google Cloud

Taught by: Google Cloud Training

Completed by: Vanessa Sabino by February 20, 2020

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Preparing for the Google Cloud Professional Data Engineer Exam

Google Cloud

Taught by: Google Cloud Training

Completed by: Vanessa Sabino by March 3, 2020

1 week of study, 6-8 hours/week

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