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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.

By: New York, NY : McGraw-Hill Education, 2019Edition: International student editionDescription: xviii, 348 pages : color illustrations ; 23 cmISBN:
  • 9781260084641
DDC classification:
  • 23 658.4012 P93 2019
Contents:
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
Summary: 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.
Holdings
Item type Current library Collection Call number Status Barcode
Books Books College Library General Circulation Section GC GC 658.4012 P93 2019 (Browse shelf(Opens below)) Available HNU004852

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

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