bugl
bugl
HomeLearnPatternsPathsSearchPremium
HomeLearnPatternsPaths
Learn/Data Science/Data Science
Data Science•Data Science

Data Science - 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.

Structured Data

Structured data is organized and easier to work with.

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)

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.

Previous

Data Science Introduction

Next

Data Science - Database Table

This chapter

Overview
8

Lessons

21m

Read time

1. Data Science Tutorial2. Data Science Introduction3. Data Science - What is Data?4. Data Science - Database Table5. Data Science & Python6. Data Science - Python DataFrame7. Data Science Functions8. Data Science - Data Preparation

On this page

What is Data?Unstructured DataStructured DataHow to Structure Data?