Customer Analytics: Data-Based Recommendation & Analytics with Advanced Customer Segmentation in Python

Lecture:  Introduction to Customer Segmentation
Tuesday @7.00 - 9.00 pm

• Introduction to Customer Segmentation
• RFM Approach to Customer Segmentation
• Unsupervised Learning: Clustering with K-Means
• Principal Component Analysis (PCA)
• Market Basket Analysis

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Lecture:  Practical with Python
Wednesday  @7.00 - 9.00 pm

• Business Understanding & Data Understanding
• Preparation and Cleansing Data
• Applying RFM Approach to Segmenting
• Applying PCA & Create K-Means
• Understanding Result Cluster

Lecture: Create Data-Driven Recommendation
Friday @7.00 - 9.00 pm

• Using association rules find the product that can be recommend for campaign
• Student assignment presentation: end-to-end customer segmentation & data presentation
• Feedback on student's experiment
• QnA Session