Predictive analytics for business strategy
- Chennai McGraw Hill Education (India) Pvt. Ltd. 2021
- xx, 360 p.
Table of content
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.
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Business planning- Study and teaching Quantitative research