Predictive analytics for business strategy :
Prince, Jeffrey T.,
Predictive analytics for business strategy : reasoning from data to actionable knowledge / Jeffrey T. Prince, Professor of Business Economics & Public Policy, Harold A. Poling Chair in Strategic Management, Kelley School of Business, Indiana University, author. - International student edition - xviii, 348 pages : color illustrations ; 23 cm
Includes index
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
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.
College of Business and Accountancy Bachelor of Science in Business Administration major in Financial Management
In English
9781260084641
658.4012 P93 / 2019
Predictive analytics for business strategy : reasoning from data to actionable knowledge / Jeffrey T. Prince, Professor of Business Economics & Public Policy, Harold A. Poling Chair in Strategic Management, Kelley School of Business, Indiana University, author. - International student edition - xviii, 348 pages : color illustrations ; 23 cm
Includes index
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
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.
College of Business and Accountancy Bachelor of Science in Business Administration major in Financial Management
In English
9781260084641
658.4012 P93 / 2019
