Course Description
In these lessons, you’ll learn about association rules and how they can apply to retail stores, e-commerce websites and media platforms. In turn, we’ll explore the three most important measures--support, confidence, and lift--as well as how to interpret each.
This course will also be a guide for how to navigate and apply association rules, particularly in setting up data for association rules to facilitate and maximize their interpretation and use. Finally, you will learn how to apply association rules to business strategy.
What You'll Learn
- Apply association rules to retail stores, e-commerce websites, and media platforms
- Interpret the three key measures of support, confidence, and lift
- Set up data correctly to facilitate and maximize association rule interpretation
- Navigate and apply association rules in practice
- Apply association rules to business strategy
Key Takeaways
- Association rules can be applied to retail stores, e-commerce websites, and media platforms.
- Support, confidence, and lift are the three most important measures used to evaluate association rules.
- Setting up data appropriately helps facilitate and maximize the interpretation and use of association rules.
- Association rules can be applied to inform business strategy.
Frequently Asked Questions
What will I learn in this course?
You will learn how to apply association rules, interpret them, and set up data for association rules, including the three key measures of support, confidence, and lift.
What topics does this course cover?
The course covers association rules, typical data setup, support, confidence and lift, and interpretation.
Where can association rules be applied?
Association rules can apply to retail stores, e-commerce websites, and media platforms, and can be applied to business strategy.
What skills does this course help develop?
It supports skills in association rule learning, cluster analysis, data mining, data mining methods, machine learning algorithms, and relational data mining.
