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Product Analytics Applied Data Science Techniques for Actionable Consumer Insights, 1st Edition By Joanne Rodrigues [PDF] [eBook]

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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 Chan ... ge 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 Hill’s 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 [Show More]

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