Business Law > SOLUTIONS MANUAL > Product Analytics Applied Data Science Techniques for Actionable Consumer Insights 1st Edition By Jo (All)
Product Analytics Applied Data Science Techniques for Actionable Consumer Insights 1st Edition By Joanne Rodrigues
Document Content and Description Below
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 [Show More]
Last updated: 1 year ago
Preview 1 out of 119 pages
Buy this document to get the full access instantly
Instant Download Access after purchase
Buy NowInstant download
We Accept:
Reviews( 0 )
$25.00
Can't find what you want? Try our AI powered Search
Document information
Connected school, study & course
About the document
Uploaded On
Nov 06, 2022
Number of pages
119
Written in
All
Additional information
This document has been written for:
Uploaded
Nov 06, 2022
Downloads
0
Views
286
