Overview of the synthetic data content

Overview

This module covers why and how to generate and use synthetic (also known as simulated/artificial/fake) data.

Learning Objectives

• Know about reasons why one might want to use simulated data.
• Be familiar with ways to generate synthetic data.
• Be aware of several R packages that can be used to generate synthetic data.
• Know how to use synthetic data for testing.
• Know how to use synthetic data with AI tools.

Content

The module consists of the following units:

• Introduction and Motivation
• Creating new data
• Creating new data based on existing data
• Scrambling existing data
• R packages for data creation
• Use synthetic data with AI tools
• Use synthetic data to test models