Predictive Analytics for Business Strategy

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.


KEY FEATURES
• New Appendix -- Analytics in Action-- hands-on, data-based walkthrough of important concepts & techniques 
• Data Challenges --- Challenging data sets explained in chapters 
• Demonstration Problems -- Applications to develop and practice particular data skills
• Applications --- Real world data applications that lead to actionable conclusions and critical thinking 
• Illustrations to enhance the readers’ ability to communicate with a wide audience

• 9789390219810_PRINCE_PREDICTIVE ANALYTICS FOR BUSINESS STRATEGY