Udemy

Free Data Quality Course: Understand Reference Data, Rules and Exceptions

Data problems are easier to address when an organization agrees what a valid value means and who is responsible for it. Adastra Academy introduces reference data management alongside the processes used to assess and improve data quality.

Free Data Quality Course: Understand Reference Data, Rules and Exceptions — Adastra Academy. WikiFree selection on Udemy.
Free learning access

Listed as Free on Udemy when checked on 21 October 2026. No coupon or subscription trial is required for the listed lessons. Enrollment needs a Udemy account; availability can change.

About this course

Data problems are easier to address when an organization agrees what a valid value means and who is responsible for it. Adastra Academy introduces reference data management alongside the processes used to assess and improve data quality.

The first section examines shared reference values and the challenges of inconsistent ownership or manual maintenance. The second covers profiling, quality measures, validation, cleansing and handling exceptions that cannot simply be corrected automatically.

Official course Understanding Data Quality and Reference Data Management
Created by Adastra Academy
Platform Udemy
Language English
Level Beginner — Udemy listing
Listed duration 39 minutes; 5 lectures across 2 sections
Certificate Not included with a new free enrollment

Skills you’ll gain

  • Understanding reference data management
  • Recognizing data-quality measures
  • Following profiling and validation activities
  • Distinguishing automated correction from exception review

A basic understanding of enterprise data management is expected. This is a high-level overview, so it is most useful before selecting a detailed implementation tutorial or commercial product.

Connect the quality discussion with an explicit business rule rather than treating tidy formatting as sufficient evidence of correctness. For personal practice, describe one validation rule and one case that would need human review; this is a WikiFree exercise suggestion, not a verified included software lab.

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Choose your next step

Compare the master-data problem: Master Data Management and Trusted Records. Distinguish shared entity records from reference values and wider data-quality processes.

Apply cleanup on a smaller scale: Excel Data Cleaning. Practice working with inconsistent values before tackling enterprise workflows.

Frequently asked questions

Is this hands-on training in a named data-quality product?

The published curriculum is a conceptual overview of reference data and data-quality activities, not a full product-configuration course.

How does it differ from the master-data introduction?

This selection focuses on reference values, quality rules, profiling and exception management. The companion MDM introduction focuses on master records, matching and implementation styles.

Checked on 21 October 2026 using the public course details and syllabus. WikiFree has not watched every lesson or tested full playback. New free enrollments do not include a Udemy completion certificate, instructor Q&A or direct messages.

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