Free practical course
Data Quality, Taxonomies and Record Hygiene
Build reliable field definitions, resolve duplicates carefully and maintain useful skills and role vocabularies.
What you will build
A data-quality rule set and taxonomy maintenance plan.
Before you start: Talent Engineering Fundamentals, or equivalent recruitment experience.
74 min estimated, including practice. 4 written lessons.
What you will learn
- Prioritise quality by decision impact
- Build taxonomies that support retrieval
- Resolve duplicates without losing meaning
- Make hygiene a maintained workflow
Course lessons
- Prioritise quality by decision impact
- Build taxonomies that support retrieval
- Resolve duplicates without losing meaning
- Make hygiene a maintained workflow
Complete the lessons and pass the five-question knowledge assessment at 80% to earn a free course certificate. Exercises are self-directed, not independently graded.
Download the practice workbookSources and further reading
Original Academy teaching and fictional examples. These references provide context, not endorsement. Edition 2026.09; updated 2026-09-24.
- GOV.UK: Responsible AI in recruitment
UK guidance on procuring and deploying recruitment AI.
- NIST: AI Risk Management Framework
Voluntary framework for organising AI risks and controls.