Predictive analytics for business strategy

Table of content

Chapter 1 The Roles of Data and Predictive analytics in business
Chapter 2 Reasoning with Data
Chapter 3 Reasoning from sample to Population
Chapter 4 the scientific method: the gold standard for establishing causality
Chapter 5 linear Regression as a fundamental Descriptive tool
Chapter 6 correlation vs. causality in Regression analysis
Chapter 7 basic methods for establishing causal inference
Chapter 8 advanced methods for establishing causal inference
Chapter 9 Prediction for a Dichotomous Variable
Chapter 10 identification and Data assessment Applications Data Analysis Critiques, Write-ups, and Projects
Appendix: Analytics in Action Using R

OVERVIEW
Predictive Analytics for Business Strategy is a book designed for courses that provide conceptual and broad-based introduction to econometrics and business analytics. It lays the foundation of a course that benefits both future analysts and managers. The course gives managers a basic understanding of what data can do in an important area of business (strategy formation) and present it in a way that doesn’t feel like a taxonomy of models and their statistical properties. It gives future analysts a bigger picture of what their analysis is trying to accomplish, and the conditions under which it can be deemed successful. It gives them tools to better reason through these ideas and communicate them to others.