Error and Inconsistency Analysis Course
This course equips you with practical skills to analyze and clean retail transactional data, ensuring high-quality, reliable datasets for business intelligence and decision-making through SQL and Python-based techniques.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Error and Inconsistency Analysis Course shows you how to profile transactional retail data, detect missing and invalid values, and apply rule-based cleaning for discounts, totals, and duplicates. Learn to quantify impact on key metrics, prioritise fixes, and implement automated checks, alerts, and monitoring using SQL and Python-style patterns for reliable, reproducible, decision-ready datasets.
Elevify advantages
Develop skills
- Design rule-based data cleaning: fix, nullify, or remove flawed BI records fast.
- Detect and resolve duplicates, ID issues, and outliers in retail transaction data.
- Quantify data quality impact on KPIs, revenue, and BI dashboards for smart fixes.
- Build automated SQL/Pandas checks, alerts, and DQ dashboards for live monitoring.
- Create testable, reproducible data cleaning pipelines ready for CI and production.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

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