Type of course:
Digital learning, Lesson
Language:
EN
Duration:
5 minutes
Proficiency:
Beginner
Target:
Professionals
SUMMARY
This lesson introduces quantitative and qualitative variables, two fundamental ways to classify data—the foundational building block of data science. Understanding these variable types is the first step toward effectively applying machine learning methods and tools.
In this session, we’ll explore:
- What quantitative and qualitative variables are.
- How to differentiate them and why we need to do that.
- Common types of quantitative and qualitative variables, along with practical examples of each type.

About The Author
Thi Hong Nhung Dang (Nhung) is an engineer in AI at the Grenoble Institute of Technology (Grenoble INP), France. She approaches manufacturing challenges by not only leveraging data but also considering human factors, economic perspectives, and the broader context to deliver well-rounded machine learning solutions.
Learning outcomes
- By the end of this lesson, learners will be able to identify quantitative and qualitative variables.
- By the end of this lesson, learners will be able to differentiate between quantitative and qualitative variables.
- By the end of this lesson, learners will be able to identify common types of quantitative and qualitative variables.
Course Content
Topics
Uncategorized
Provided by
Content created in 2024
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