Let's Build a Data Quality Checker in Python (Step-by-Step Tutorial)

Published: 09 April 2025
on channel: The Data Signal

6,054

250

In this practical, step-by-step tutorial, we'll build a comprehensive Data Quality Checker in Python using Pandas. We'll cover the 6 essential dimensions of data quality—Accuracy, Completeness, Uniqueness, Consistency, Timeliness, and Validity—and demonstrate how you can easily apply them to any dataset. By the end of this tutorial, you'll have a powerful and reusable Python class ready to improve your data quality immediately.

✅ Download the notebook and resources:
GitHub Repository (https://github.com/david-ikenna-ezeki...)

📚 Resources Referenced:

DAMA(UK) Data Management Body of Knowledge (DMBOK):
https://www.dama-uk.org

Watch this video if you want to:
✅ Understand key data quality dimensions practically.
✅ Learn to detect and fix common data issues automatically.
✅ Build a reusable Python class for data quality checks.

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💬 Feel free to ask questions or suggest topics in the comments.

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