This book describes, simply and in general terms, the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and have carefully observed what produces coherent results and what fails to produce useful insights into data. This book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science.

Table of Contents

1. Data Analysis as Art
2. Epicycles of Analysis
3. Stating and Refining the Question
4. Exploratory Data Analysis
5. Using Models to Explore Your Data
6. Inference: A Primer
7. Formal Modeling
8. Inference vs. Prediction: Implications for Modeling Strategy
9. Interpreting Your Results
10. Communication