🔥Limited Offer: Get 50% OFFon AI & Full Stack Courses🔥
Back to Data Science Notes
Topic #3

DS What is Data


What is Data?

Data is a collection of information.

One purpose of Data Science is to structure data, making it interpretable and easy to work with.

Data can be categorized into two groups:

  • Structured data
  • Unstructured data

Unstructured Data

Unstructured data is not organized. We must organize the data for analysis purposes.

Unstructured Data

Unstructured Data


Structured Data

Structured data is organized and easier to work with.

Structured Data


How to Structure Data?

We can use an array or a database table to structure or present data.

Example of an array:

[80, 85, 90, 95, 100, 105, 110, 115, 120, 125]

The following example shows how to create an array in Python:

Example

  Array = [80, 85, 90, 95, 100, 105, 110, 115, 120, 125]
print(Array)

Note: It is common to work with very large data sets in Data Science. In this tutorial we will try to make it as easy as possible to understand the concepts of Data Science. We will therefore work with a small data set that is easy to interpret.

Want to go beyond the notes?

Join CodingNow 2.0's Data Science course — live mentorship, real projects, and 100% placement support.

Enroll Now — Free Demo Available

DS What is Data – FAQs

Quick answers about learning DS What is Data in Data Science.

This free note from CodingNow 2.0 explains DS What is Data in Data Science — concept, syntax and worked code examples you can copy, run and revise before interviews.
Yes. Every Data Science topic on CodingNow 2.0, including DS What is Data, is 100% free with no signup required.
With focused practice, most students grasp DS What is Data in 1–3 days from these notes; pairing it with CodingNow 2.0's mentor-led course takes you to job-ready depth faster.
Use the code examples in this note, then ask doubts for free on the CodingNow 2.0 Community (/community) — expert instructors answer within 24 hours.
WhatsApp
Call NowEnroll Now