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.
Author Name: David Clinton
Author Description:
David Clinton is an AWS Solutions Architect and a Linux server administrator. He’s written books on cloud and Linux administration, IT security, and data analytics.