bugl
bugl
HomeLearnPatternsPathsSearch
HomeLearnPatternsPathsSearch

Loading lesson path

Learn/Data Science/Data Science
Data Science•Data Science

Data Science - What is Data?

Flash cards

Review the key moves

1/4
Core idea

What is the main idea behind Data Science - What is Data??

Lesson checks

Practice each idea before moving on

Short Mimo-style checks built from this lesson's code, terms, and sequence.

1Quick choice

Which statement best captures the main point of this lesson?

2Order

Put the learning moves in the order that makes the concept easiest to apply.

One purpose of Data Science is to structure data, making it interpretable and easy to work with.
Data is a collection of information.
How to Structure Data?
3Data move

Before charting or modeling a dataset, which move should come first?

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