Marketing Data Science: Modeling Techniques in Pred Analytics with R and Python

Description: Marketing Data Science : Modeling Techniques in Predictive Analytics with R and Python (2015) with dust jacket Marketing Data Science brings together the knowledge you need to model consumer and buyer preferences and predict marketplace behavior, so you can make informed business decisions. Using hands-on examples built with R, Python, and publicly available data sets, Thomas W. Miller shows how to solve a wide array of marketing problems with predictive analytics. Building on the pioneering data science program at Northwestern University, Miller covers analytics for 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. Miller brings together essential concepts, principles, and skills that were formerly scattered across multiple texts. You'll again realistic experience extending predictive analytics with powerful techniques from web analytics, network science, programming, and marketing research. As you practice, you'll master data management and modeling skills you can apply in all markets, business-to-consumer and business-to-business alike. (From the dust jacket) This text is brand new and never used. The dust jacket and all pages are in brand new condition.

Price: 75 USD

Location: Lancaster, Pennsylvania

End Time: 2024-11-23T06:30:01.000Z

Shipping Cost: 0 USD