Before we can analyze data, we need to collect it from reliable sources. In the real world, data is rarely handed to us in a clean and structured format. Instead, we have to gather it from various sources such as APIs, web scraping, and databases. Each method has its own advantages and use cases, and understanding when to use each is an essential skill for a data scientist.
Back to Data Storage and Methods of Cleaning and Conversion
Lesson PreviewLesson 2 of 8 in this unit
2. 2. Collecting types of data from APIs, web scraping, and databases
Part of Data Storage and Methods of Cleaning and Conversion in Data Science. Read the opening section, then create a free account for the full interactive lesson, practice, and progress tracking.
In this unit
8 lessons
- 2.1Types Data CleaningPreview lesson
- 2.2Collecting types of data from APIs, web scraping, and databasesThis lesson
- 2.3Working with CSV, JSON, and Excel filesPreview lesson
- 2.4Types of SQL Basics for Querying DatabasesPreview lesson
- 2.5Handling Missing DataPreview lesson
- 2.6Data Duplicates and Inconsistent DataPreview lesson
- 2.7Data transformation and feature scalingPreview lesson
- 2.8Convecting data typesPreview lesson
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