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Adopting a Data Science Workflow in Google Cloud Platform

This course shows you how to use Google Cloud Platform solutions for the various steps of the data science workflow.

Victor Dantas - Pluralsight course - Adopting a Data Science Workflow in Google Cloud Platform
by Victor Dantas

What you'll learn

In this course, _Adopting a Data Science Workflow in Google Cloud Platform_, you’ll learn to use various Google Cloud Platform solutions for your data science needs. First, you’ll explore data discovery and ingestion options. Next, you’ll discover BigQuery, Google Cloud’s data warehouse, and Vertex AI, an end-to-end data science and machine learning platform. Finally, you’ll learn how to process data at scale with Dataflow and Dataproc. When you’re finished with this course, you’ll have the skills and knowledge of Google Cloud Platform products needed to adopt an end-to-end data science workflow.

Table of contents

About the author

Victor Dantas - Pluralsight course - Adopting a Data Science Workflow in Google Cloud Platform
Victor Dantas

IT professional with a PhD in Software-Defined Networking and certified Cloud Architect on Microsoft Azure and Google Cloud Platform (GCP). With a background ranging from software development and systems engineering to professional services for Cloud migration, I have accumulated experience in Hybrid cloud infrastructure, cloud architecture and design, Infrastructure-as-Code (IaC) as well as Agile/DevOps practices. My current interests involve AI / Machine Learning and Internet-of-Things. (IoT).

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