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2. 1. Types Data Cleaning

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Data can be broadly categorized into structured and unstructured data.

Structured Data This type of data is well-organized and stored in a predefined format, such as tables in relational databases, CSV files, and spreadsheets. It follows a schema, making it easier to query and analyze. Examples include customer information in a database, sales reports, or financial records.

In this unit

8 lessons

  1. 2.1Types Data CleaningThis 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 DataPreview lesson
  7. 2.7Data transformation and feature scalingPreview lesson
  8. 2.8Convecting data typesPreview lesson

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