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Lesson PreviewLesson 6 of 8 in this unit

2. 6. Data Duplicates and Inconsistent Data

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In the world of data, accuracy is everything. When datasets are messy, full of repeated entries or contradictory information, it becomes difficult to trust the conclusions drawn from them. Two of the most common issues that arise during data analysis are duplicates and inconsistencies. Both can distort data, mislead decision-making, and reduce the overall value of your data.

In this unit

8 lessons

  1. 2.1Types Data CleaningPreview lesson
  2. 2.2Collecting types of data from APIs, web scraping, and databasesPreview lesson
  3. 2.3Working with CSV, JSON, and Excel filesPreview lesson
  4. 2.4Types of SQL Basics for Querying DatabasesPreview lesson
  5. 2.5Handling Missing DataPreview lesson
  6. 2.6Data Duplicates and Inconsistent DataThis lesson
  7. 2.7Data transformation and feature scalingPreview lesson
  8. 2.8Convecting data typesPreview lesson

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