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Data Analysis for ML/AI

Data quality and cleaning

Duplicates, whitespace, casing, type coercion errors, validation rules.

5 lessons Follow in order
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Lessons in sequence

Work through these in order—each lesson builds on the previous one.

  1. Lesson 1 of 5

    Duplicates: detection and resolution

    Enroll to open · 10 min read

  2. Lesson 2 of 5

    Whitespace, casing, and string cleanup

    Enroll to open · 9 min read

  3. Lesson 3 of 5

    Validation rules at ingestion

    Enroll to open · 10 min read

  4. Lesson 4 of 5

    Standardizing units and formats

    Enroll to open · 10 min read

  5. Lesson 5 of 5

    Repeatable, version-controlled cleaning

    Enroll to open · 10 min read

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