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Overview of PREDICTIVE ANALYTICS FOR BUSINESS STRATEGY Book
| Title | PREDICTIVE ANALYTICS FOR BUSINESS STRATEGY |
| Author | Jeffrey T. Prince, Amarnath Bose |
| ISBN-13 | 9789390219810 |
| Publication | MHE |
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. Highlights: 1. New br>Appendix -- analytics in action-- hands-on, data-based walkthrough of important concepts & techniques 2. Data challenges --- challenging data sets explained in chapters 3. Demonstration problems -- applications to develop and practice particular data skills 4. Applications --- real world data applications that lead to actionable conclusions and critical thinking 5. Illustrations to enhance the readers’ ability to communicate with a wide audience about data issues.
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Overview of PREDICTIVE ANALYTICS FOR BUSINESS STRATEGY Book
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. Highlights: 1. New br>Appendix -- analytics in action-- hands-on, data-based walkthrough of important concepts & techniques 2. Data challenges --- challenging data sets explained in chapters 3. Demonstration problems -- applications to develop and practice particular data skills 4. Applications --- real world data applications that lead to actionable conclusions and critical thinking 5. Illustrations to enhance the readers’ ability to communicate with a wide audience about data issues.
Book Type :
Management
Book Binding :
Not Available
Language :
English
No. of Pages :
384 Pages
ISBN - 10 :
9390219817
ISBN - 13 :
9789390219810
PREDICTIVE ANALYTICS FOR BUSINESS STRATEGY Published On :
10 December 2020
Publisher :
McGraw Hill
Edition :
First Edition
About Jeffrey T. Prince, Amarnath Bose:
Jeffrey T. Prince, Amarnath Bose is the author of PREDICTIVE ANALYTICS FOR BUSINESS STRATEGY.
Disclaimer:
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- Table of Contents, Index, Syllabus, summary and image of PREDICTIVE ANALYTICS FOR BUSINESS STRATEGY may be of a different edition or of the same title.
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Overview of PREDICTIVE ANALYTICS FOR BUSINESS STRATEGY Book
| Title | PREDICTIVE ANALYTICS FOR BUSINESS STRATEGY |
| Author | Jeffrey T. Prince, Amarnath Bose |
| ISBN-13 | 9789390219810 |
| Publication | MHE |
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. Highlights: 1. New br>Appendix -- analytics in action-- hands-on, data-based walkthrough of important concepts & techniques 2. Data challenges --- challenging data sets explained in chapters 3. Demonstration problems -- applications to develop and practice particular data skills 4. Applications --- real world data applications that lead to actionable conclusions and critical thinking 5. Illustrations to enhance the readers’ ability to communicate with a wide audience about data issues.