AI-assisted data cleaning only works when the cleaning rules are explicit, the outputs are reproducible, and every change can be defended later. This course shows how to use AI as a controlled assistant for profiling, transformation, and documentation, while keeping human approval and provenance intact. It is built for analysts, data scientists, and domain professionals who need cleaner data for analytics without losing traceability or trust.
The course covers audit-ready cleaning deliverables, explicit policy decisions for drops, imputes, deduplication, coercion, and outliers, and AI-assisted profiling of schema, distributions, and anomalies. It also covers version-controllable cleaning code, lineage-preserving transformations, governance checks, privacy constraints, and professional documentation for the full cleaning workflow.