This course was designed for students of Data Science for Business master program (YSU).

During the course, students will learn how to apply statistical models and machine learning methods in analyzing customer behavior. All approaches are applicable to e-commerce companies and other enterprises that may have relevant customer data.

1. Introduction: Customer Behavior and Data Science
2. Data Preparation for Customer Behavior Analysis
3. Cohort Analysis: Exploring Consumer Behavior Over Time
4. Basics of Customer Segmentation: RFM analysis
5. Customer Segmentation Part 2: Clustering algorithms
6. Customer Churn: Prediction and Analysis
7. Next Purchase Prediction
8. Market Basket Analysis
9. Choice Modeling and Conjoint Analysis
10. Price Elasticity and Brand Choice