Build Your AI Data Cleaning Assistant with ChatGPT

Poor data quality can undermine reporting, analytics, customer insights, and operational decision-making. Instead of manually fixing the same errors repeatedly, you can use ChatGPT to build a reusable assistant that helps standardize and review business data while keeping human judgment at the center of the process.

In this course, create an AI-powered data cleaning assistant using ChatGPT. Build a project, define data quality rules, upload standards, evaluate messy datasets, and refine your assistant through iterative testing. Discover how to identify duplicates, formatting inconsistencies, ambiguous values, and missing information. Learn how to prevent unwanted changes, document rules, and flag records that require review. By the end of the course, you'll have a repeatable workflow for improving data quality while maintaining human oversight.

Learning objectives
Create a ChatGPT project for data cleaning tasks.
Define data-quality rules and standards for consistent cleanup.
Identify data issues that can be automated versus those requiring human review.
Use ChatGPT to standardize, clean, and validate business data.
Refine prompts and rules to improve cleaning accuracy over time.
Build a reusable workflow for maintaining data quality across projects.