Description
Applied Marketing Analytics Using Python is a comprehensive resource for marketing professionals and data analysts seeking to master Python-based analytics techniques. The book bridges the gap between marketing theory and practical data science implementation, offering real-world examples and code-driven solutions.
Authored by Gokhan Yildirim and Raoul V. Kübler, this SAGE Publications title covers essential topics including customer segmentation, predictive modeling, attribution analysis, and campaign optimization. Readers will learn to process marketing data, build statistical models, and create actionable insights using Python libraries such as pandas, scikit-learn, and matplotlib.
Ideal for marketers transitioning to data analytics roles and data scientists entering the marketing domain, this book provides practical frameworks for solving real marketing challenges. Each chapter combines theoretical foundations with executable Python code, enabling readers to immediately apply techniques to their own marketing datasets and improve ROI.
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