Applied Data Science Techniques for Actionable Cons Joanne Rodrifues Primary Author mixed material bibliography New Jersey Pearson Education, Inc 2021 en English

Text

This guide shows how to combine data science with social science to gain unprecedented insight into customer behavior, so you can change it. Joanne Rodrigues-Craig bridges the gap between predictive data science and statistical techniques that reveal why important things happen -- why customers buy more, or why they immediately leave your site -- so you can get more behaviors you want and less you don’t. Drawing on extensive enterprise experience and deep knowledge of demographics and sociology, Rodrigues-Craig shows how to create better theories and metrics, so you can accelerate the process of gaining insight, altering behavior, and earning business value. You’ll learn how to: Develop complex, testable theories for understanding individual and social behavior in web products Think like a social scientist and contextualize individual behavior in today’s social environments Build more effective metrics and KPIs for any web product or system Conduct more informative and actionable A/B tests Explore causal effects, reflecting a deeper understanding of the differences between correlation and causation Alter user behavior in a complex web product Understand how relevant human behaviors develop, and the prerequisites for changing them Choose the right statistical techniques for common tasks such as multistate and uplift modeling Use advanced statistical techniques to model multidimensional systems Do all of this in R (with sample code available in a separate code manual) Perilaku Konsumen 658.403 8 9780135258521 Perpustakaan STIKes Sumber Waras Perpustakaan STIKes Sumber Waras 658.403 8 JOA p 260661 Perpustakaan 658.403 8 JOA p 61tqOVcHfOL._AC_UF1000%252C1000_QL80_.jpg.jpg 3219 2026-09-21 11:01:48 2026-09-21 11:03:04 machine generated