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

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Error and Inconsistency Analysis Course teaches you how to profile transactional retail data, spot missing and invalid values, and use rule-based cleaning for discounts, totals, and duplicates. You will learn to measure the impact on key metrics, prioritise fixes, and set up automated checks, alerts, and monitoring with SQL and Python-style patterns to create reliable, reproducible, decision-ready datasets.
Elevify advantages
Develop skills
- Design rule-based data cleaning: fix, nullify, or remove flawed BI records quickly.
- 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
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