Hands On Data Science For Marketing by Yoon Hyup Hwang

Improve your marketing campaigns with data science and real-world use cases using Python

A practical guide that teaches marketers to apply Python-powered data science to real-world problems across the customer lifecycle, from acquisition to retention. Through step-by-step workflows and case studies, it covers data collection and cleaning, exploratory analysis, feature engineering, and modeling for tasks such as segmentation, churn and lifetime value prediction, attribution, A/B testing, forecasting, and recommendations, culminating in communicating insights and turning models into actionable marketing strategies.

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