Data Engineering, Big Data, and Machine Learning on GCP

Completed by Danny Rasch

June 14, 2019

Approximately 1 months at 10 hours a week to complete

Course Certificates Completed

Google Cloud Big Data and Machine Learning Fundamentals

Serverless Data Analysis with Google BigQuery and Cloud Dataflow

Building Resilient Streaming Systems on Google Cloud Platform

Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

Serverless Machine Learning with Tensorflow on Google Cloud Platform

View certificate for Danny Rasch, Data Engineering, Big Data, and Machine Learning on GCP, offered through Coursera. This five-course accelerated specialization is designed for data professionals who are responsible for designing, building, analyzing, and optimizing big data solutions. Through a combination of video lectures, quizzes, and hands-on labs, learners carried out serverless data analysis and productionize machine learning models. This specialization is designed to give learners a robust hands-on experience and is primarily lab-focused.

Course Certificates

Earned after completing each course in the Specialization

Google Cloud Big Data and Machine Learning Fundamentals

Google Cloud

Taught by: Google Cloud Training

Completed by: Danny Rasch by June 10, 2019

2 weeks of study, 6-10 hours/week

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Serverless Data Analysis with Google BigQuery and Cloud Dataflow

Google Cloud

Taught by: Google Cloud Training

Completed by: Danny Rasch by June 9, 2019

1 week of study, 6-8 hours/week

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Building Resilient Streaming Systems on Google Cloud Platform

Google Cloud

Taught by: Google Cloud Training

Completed by: Danny Rasch by June 12, 2019

1 week of study, 6-8 hours/week

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Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

Google Cloud

Taught by: Google Cloud Training

Completed by: Danny Rasch by June 14, 2019

1 week of study, 5-7 hours/week

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Serverless Machine Learning with Tensorflow on Google Cloud Platform

Google Cloud

Taught by: Google Cloud Training

Completed by: Danny Rasch by June 13, 2019

1 week of study, 8-12 hours/week

View this certificate