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Marketing data science: modeling techniques in predictive analytics with R and Python

By: Miller, Thomas WMaterial type: TextTextPublication details: Noida Pearson India Education Services Pvt. Ltd. 2023 Description: 458 pISBN: 9789353065744Subject(s): Marketing--Data processing | Marketing--PlanningDDC classification: 658.800285 Summary: Marketing Data Science Features Fully integrates everything you need to know to address real marketing challenges - including all relevant web analytics, network science, information technology, and programming techniques Covers analytics for segmentation, targeting, positioning, pricing, product development, site selection, recommender systems, forecasting, retention, lifetime value analysis, and much more Includes multiple examples demonstrated with Python and R MARKET IT Professionals
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC
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Marketing 658.800285 MIL (Browse shelf(Opens below)) 1 Available 005939

Marketing Data Science Features Fully integrates everything you need to know to address real marketing challenges - including all relevant web analytics, network science, information technology, and programming techniques Covers analytics for segmentation, targeting, positioning, pricing, product development, site selection, recommender systems, forecasting, retention, lifetime value analysis, and much more Includes multiple examples demonstrated with Python and R MARKET IT Professionals

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