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Data Cleaning & Validation
Find and handle missing values, duplicates, and errors without distorting the data.
Inside this lesson
- Identify missing values and choose between deletion and imputation.
- Detect duplicates and explain how they distort counts and summaries.
- Spot type errors, out-of-range values, and inconsistent categories.
- Apply validation rules including range and consistency checks.
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Educational training content only - not professional, financial, legal, or data-governance advice, and not a promise of any business or analytical result. Examples are illustrative and use hypothetical data with stated assumptions and units. Third-party names are descriptive and imply no affiliation.