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Data Portfolio Development with Generative AI

Ever had trouble finding the perfect dataset for your project? This course will teach you how to use generative AI tools to painlessly create and deploy unlimited datasets for unlimited projects.

David Clinton - Pluralsight course - Data Portfolio Development with Generative AI
by David Clinton

What you'll learn

Fake is the new authentic! Sometimes a project will go further (or faster) using synthetic datasets rather than actual, real-world data. In this course, Data Portfolio Development with Generative AI, you'll learn to use GenAI and data tools to generate useful data for concept demonstration projects. First, you'll explore prompting genAI tools for multiple project ideas. Next, you'll discover how to use the Python faker and random libraries to generate your data. Finally you'll learn how to understand, visualize, and summarize insights into the data you've created. When you're finished with this course, you'll have the skills and knowledge of synthetic dataset creation needed to support your own data project needs.

Table of contents

About the author

David Clinton - Pluralsight course - Data Portfolio Development with Generative AI
David Clinton

David taught high school for twenty years, worked as a Linux system administrator for five years, and has been writing since he could hold a crayon between his fingers. His childhood bedroom wall has since been repainted.

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