Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python - manbookgaler
In <b>
<i>Marketing Data Science</i>
</b>, a top faculty member 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 his predictive analytics program at Northwestern, Miller covers 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 his widely-praised <i>Modeling Techniques in Predictive Analytics</i> left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Co
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