Hello and welcome back to this introductory
course on data for data science.
I’m Matthew Renze, data science consultant,
author, and public speaker.
In this module, we’ll learn about the various
types of data
that we will encounter in data science.
What types of data exist in data science?
How do we conceptually divide data into groups
based on what they represent?
And what are the limitations of each of these
types of data?
To answer these questions, we’re going to
learn about the various types of data that
exist in data science and their various capabilities
First, we’ll learn about the two most common
types of data: categorical and numerical data.
Next, we’ll learn about nominal data, named
categories without a natural rank order.
Then, we’ll learn about ordinal data, named
categories with a natural rank order.
Next, we’ll learn about interval data, numerical
measures with an arbitrary zero point.
Finally, we’ll learn about ratio data, numerical
measures with a natural zero point.