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

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

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. 🔔 If you found this video helpful, please like, subscribe, and share! 💬 Feel free to ask questions or suggest topics in the comments.