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Marketing Data Science

Modeling Techniques in Predictive Analytics with R and Python

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  • 480 pages
  • 17 hours of reading

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Focusing on the intersection of marketing and predictive analytics, this book provides a comprehensive exploration of both theoretical and practical aspects of the field. Written by a leading faculty member from Northwestern University's analytics program, it caters to managers and students alike, offering insights into essential concepts and principles through real-world applications. The blend of academic rigor and business relevance makes it a valuable resource for understanding how data science can enhance marketing strategies.

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Marketing Data Science, Thomas Miller

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Released
2015
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(Hardcover)
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