Learning Path

Data Science Fundamentals → Churn Prediction

This learning path equips data scientists with the core data science techniques applied to marketing analytics, including customer segmentation, RFM analysis, marketing mix modeling, customer lifetime value, A/B testing, attribution modeling, and churn prediction. It bridges the gap between data science fundamentals and practical marketing applications, enabling learners to derive actionable customer insights and optimize marketing strategies.