Dive into a comprehensive tutorial on Marketing and Retail Analytics, exploring key concepts and practical applications. Begin with an overview of marketing fundamentals and essential terminologies. Learn to perform RFM (Recency, Frequency, Monetary) analysis using Tableau and KNIME, and master techniques like Cluster Analysis, K-Means Segmentation, and Churn Rate Prediction. Discover the power of Logistic Regression, Decision Trees, and Random Forests in predicting customer behavior. Explore Market Basket Analysis to uncover purchasing patterns and understand the Customer Lifetime Value (CLV) model for long-term business strategies. Gain hands-on experience through demonstrations and examples, equipping yourself with valuable skills for data-driven decision-making in marketing and retail sectors.
Overview
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.
Taught by
Great Learning
