Market Basket Analysis with Python

person icon Takuma Kimura

4.3 ★★★★ ★

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Market Basket Analysis with Python

Name: Market Basket Analysis with Python
Rating: 4.3 (323 reviews)
Author: Takuma Kimura

Market Basket Analysis with Association Rule Mining

updated on icon Updated on Jul, 2024

language icon Language - English

person icon Takuma Kimura

English [CC]

category icon Business,Data Analytics,Data Analysis

Lectures -21

Resources -6

Duration -1.5 hours

4.3 ★★★★ ★

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Course Description

Welcome to the association rule mining course. This course is an introductory course. You will learn basic knowledge of association rule mining in this course.

Association rule mining is a useful technique to explore associations between variables. It contributes to effective cross-selling and has been applied to construct recommender system in EC sites. We can use it not only in marketing analytics but also other fields in business analytics.

This course intends to provide you with theoretical knowledge as well as python coding. Theoretical knowledge is important to understand the algorithm of data mining, and it can be a useful foundation for more advanced learning.

This course consists of 4 sections. In the first section, you will learn what an association rule is. In Session 2, you will learn the basic metrics of association rule mining. Session 3 covers apriori algorithm that is a useful method to identify important associations between variables. Session 4 is a Hands-On chapter, where you will learn how to implement association rule mining in Python.

I’m looking forward to seeing you in this course!

Goals

Association Rule Mining
Market Basket Analysis
Python coding for Basic Market Basket Analysis

Prerequisites

Novice level Python (preferable)

Curriculum

Check out the detailed breakdown of what’s inside the course

What is Association Rule Mining?
4 Lectures

What is Association Rule Mining? 05:56 05:56
Comparison with Similar Methods 04:13 04:13
Basic Terms 03:22 03:22
Basic Math: Set Theory 02:35 02:35

Basic Metrics
6 Lectures

Apriori Algorithm
5 Lectures

Market Basket Analysis with Python
4 Lectures

Thank you!
1 Lectures

Instructor Details

Takuma Kimura

Profile Summary:

Dr. Takuma Kimura is an internationally recognized scholar in business and management fields. His expertise includes research in organizational behavior, and practical business analytics in human resource management and marketing. He teaches these subjects in universities and industrial companies.

Professional Details:

He published more than 10 academic papers in internationally prominent journals such as Journal of Business Ethics, International Journal of Management Reviews, Industrial Marketing Management.

He is awarded as one of the World Top Reviewers from Publons, and as a Recognized Reviewer from European Management Journal.

He is technically skilled for Statistical Analysis, Machine Learning, Data Science, Qualitative Analysis. And he has abundant knowledge in management theory, especially in organizational behavior and psychology.

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