O'Reilly logo

Mastering Python for Data Science by Samir Madhavan

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 1. Getting Started with Raw Data

In the world of data science, raw data comes in many forms and sizes. There is a lot of information that can be extracted from this raw data. To give an example, Amazon collects click stream data that records each and every click of the user on the website. This data can be utilized to understand if a user is a price-sensitive customer or prefer more popularly rated products. You must have noticed recommended products in Amazon; they are derived using such data.

The first step towards such an analysis would be to parse raw data. The parsing of the data involves the following steps:

  • Extracting data from the source: Data can come in many forms, such as Excel, CSV, JSON, databases, and so on. Python makes it ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required