ISE eBook Online Access 180-day Predictive Analytics 180-day Business Strategy
1st Edition
126477138X
·
9781264771387
© 2019 | Published: January 30, 2018
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 for…
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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
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
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.