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Marketing Data Science: Modeling Techniques In Predictive Analytics With R And Python Modeling Techniques In Predictive Analytics With R And Python by Miller, Thomas W. (author.) is a nonfiction available to read on EtoBox.

What is Marketing Data Science: Modeling Techniques In Predictive Analytics With R And Python Modeling Techniques In Predictive Analytics With R And Python about?

Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web – and watching your own competitors Visualizing networks and understandin

Who reads Marketing Data Science: Modeling Techniques In Predictive Analytics With R And Python Modeling Techniques In Predictive Analytics With R And Python?

Author

Miller, Thomas W. (author.)

Publisher

Pearson Education,

Published

2015

Language

EN

ISBN

9780133887341

Category

nonfiction

Subjects

Marketing, Management, Engineering

Updated

2026-03-24