Designed for courses that provide a conceptual and broad-based introduction to econometrics and business analytics,
Predictive Analytics for Business Strategy, 1st edition provides future managers with a basic understanding of what data can do in forming business strategy without getting into a taxonomy of models and their statistical properties. Through engaging questions, explanations, and applications, students develop a deeper understanding of the fundamental reasoning behind how and why analysis can generate actionable knowledge and learn to think critically about whether a given analysis has merit or not.
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:Advances Methods for Establishing Causal Inference
Chapter 9:Prediction for a Dichotomous Variable
Chapter 10:Identification and Data Assessment
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