Marketing & Retail Analytics

This course introduces marketing and retail analytics through demonstrations of RFM analysis, customer segmentation, churn prediction, market basket analysis, and customer lifetime value modeling. It uses Tableau and KNIME for practical examples.

Syllabus

➤ Skip Intro: .
Introduction .
Overview Of Marketing.
Marketing Terminologies Part 1.
Marketing Terminologies Part 2.
RFM Analysis Using Tableau.
RFM Analysis Using KNIME Part 1.
RFM Analysis Using KNIME Part 2.
Percentiles and Auto-Binner Function in KNIME.
Cluster Analysis.
K-Means Segmentation.
Churn Rate Prediction.
Churn Rate Prediction - Logistic Regression Hands-on.
Churn Rate Prediction - Decision Tree and Random Forest Hands-on.
Customer Churn Rates.
Market Basket Analysis Part 1.
Market Basket Analysis Part 2.
Customer Lifetime Value (CLV) Model.