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Product Analytics : Applied Data Science Techniques for Actionable Consumer I...
- Item No : 388324010070
- Condition : Like New
- Brand : No brand Info
- Seller : superbookdeals1
- Current Bid : US $49.00
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* Item Description
- Product Analytics : Applied Data Science Techniques for Actionable Consumer Insights, Paperback by Rodrigues-craig, Joanne, ISBN 0135258529, ISBN-13 9780135258521, Like New Used, Free P&P in the UK
<div> 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. </div> <div> <br> </div> <div> 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: </div> <div> <ul> <li>Develop complex, testable theories for understanding individual and social behavior in web products </li> <li>Think like a social scientist and contextualize individual behavior in today’s social environments </li> <li>Build more effective metrics and KPIs for any web product or system</li> <li>Conduct more informative and actionable A/B tests </li> <li>Explore causal effects, reflecting a deeper understanding of the differences between correlation and causation</li> <li>Alter user behavior in a complex web product </li> <li>Understand how relevant human behaviors develop, and the prerequisites for changing them</li> <li>Choose the right statistical techniques for common tasks such as multistate and uplift modeling </li> <li>Use advanced statistical techniques to model multidimensional systems </li> <li>Do all of this in R (with sample code available in a separate code manual)</li> </ul> </div>
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