Description: Product Analytics by Joanne Rodrigues This guide shows how to combine data science with social science to gain unprecedented insight into customer behaviour, so you can change it. Joanne Rodrigues 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 behaviours you want and less you dont. Drawing on extensive enterprise experience and deep knowledge of demographics and sociology, Rodrigues shows how to create better theories and metrics, so you can accelerate the process of gaining insight, altering behaviour, and earning business value. FORMAT Paperback LANGUAGE English CONDITION Brand New Back Cover 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 dont. 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. Youll 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 todays 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) Build better theories and metrics, and drive more of the behaviors you want Model, understand, and alter customer behavior to increase revenue and retention Construct better frameworks for examining why your customers do what they do Develop core metrics for user analytics, and conduct more effective A/B tests Master key techniques that most books ignore, including statistical matching and uplift modeling Use R and this books many R examples to implement these techniques yourself Use data science and social science to generate real changes in customer behavior Build better theories and metrics, and drive more of the behaviors you want Model, understand, and alter customer behavior to increase revenue and retention Construct better frameworks for examining why your customers do what they do Develop core metrics for user analytics, and conduct more effective A/B tests Master key techniques that most books ignore, including statistical matching and uplift modeling Use R and this books many R examples to implement these techniques yourself Author Biography Joanne Rodrigues is an experienced data scientist with masters degrees in mathematics, political science, and demography. She has six years of experience in statistical computing and R programming, as well as experience with Python for data science applications. Her management experience at enterprise companies leverages her ability to understand human behaviour by using economic and sociological theory in the context of complex mathematical models. Table of Contents Part I: Qualitative Methodology Chapter 1: Data in Action: A Model of a Dinner Party Chapter 2: Building a Theory of the Universe–The Social Universe Chapter 3: The Coveted Goal Post: How to Change User Behavior Part II: Basic Statistical Methods Chapter 4: Distributions in User Analytics Chapter 5: Retained? Metric Creation and Interpretation Chapter 6: Why Are My Users Leaving? The Ins and Outs of A/B Testing Part III: Predictive Methods Chapter 7: Modeling the User Space: k-Means and PCA Chapter 8: Predicting User Behavior: Regression, Decision Trees, and Support Vector Machines Chapter 9: Forecasting Population Changes in Product: Demographic Projections Part IV: Causal Inference Methods Chapter 10: In Pursuit of the Experiment: Natural Experiments and the Difference-in-Difference Design Chapter 11: In Pursuit of the Experiment Continued: Regression Discontinuity, Time Series Modelling, and Interrupted Time Series Approaches Chapter 12: Developing Heuristics in Practice: Statistical Matching and Hils Causality Conditions Chapter 13: Uplift Modeling Part V: Basic, Predictive, and Causal Inference Methods in R Chapter 14: Metrics in R Chapter 15: A/B Testing, Predictive Modeling, and Population Projection in R Chapter 16: Regression Discontinuity, Matching, and Uplift in R Conclusion Long Description 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 dont. 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. Youll 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 todays 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) Feature Use data science and social science to generate real changes in customer behavior Build better theories and metrics, and drive more of the behaviors you want Model, understand, and alter customer behavior to increase revenue and retention Construct better frameworks for examining why your customers do what they do Develop core metrics for user analytics, and conduct more effective A/B tests Master key techniques that most books ignore, including statistical matching and uplift modeling Use R and this books many R examples to implement these techniques yourself Details ISBN0135258529 ISBN-10 0135258529 ISBN-13 9780135258521 Language English Format Paperback Author Joanne Rodrigues Country of Publication United States Pages 448 Birth 1949 Affiliation Leroy A. Martin Distinguished Professor of Religious Studies, University of Tennessee at Chattanooga Position Leroy A. Martin Distinguished Professor of Religious Studies Qualifications BA, MED Imprint Addison Wesley Place of Publication Boston AU Release Date 2021-01-07 NZ Release Date 2021-01-07 US Release Date 2021-01-07 Year 2021 Publication Date 2021-01-07 UK Release Date 2021-01-07 Series Pearson Business Analytics Series Publisher Pearson Education (US) Subtitle Applied Data Science Techniques for Actionable Consumer Insights DEWEY 658.83402856312 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:123764910;
Price: 94.8 AUD
Location: Melbourne
End Time: 2024-12-31T03:53:43.000Z
Shipping Cost: 0 AUD
Product Images
Item Specifics
Restocking fee: No
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 30 Days
ISBN-13: 9780135258521
Book Title: Product Analytics
Item Height: 229 mm
Item Width: 175 mm
Author: Joanne Rodrigues
Publication Name: Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights
Format: Paperback
Language: English
Publisher: Pearson Education (Us)
Subject: Computer Science, Marketing
Publication Year: 2020
Type: Textbook
Item Weight: 680 g
Number of Pages: 360 Pages
