This book is a comprehensive, step-by-step learning guide towards understanding entire value chain of Business Analytics, its inter-related components and hence signifying its role in business decision making in India and globally.
This book is a comprehensive, step-by-step learning guide towards understanding entire value chain of Business Analytics, its inter-related components and hence signifying its role in business decision making in India and globally.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Tanushri Banerjee teaches at University of Wollongong Australia - India Campus, GIFT city, Gujarat, India. Arindam Banerjee teaches at Indian Institute of Management, Ahmedabad, Gujarat, India. Dhaval Maheta teaches at Department of Business and Industrial Management, Surat, Gujarat, India. Vivek Gupta is affiliated with Softsensor.Ai, New Jersey, USA.
Inhaltsangabe
SECTION I: PLANNING 1. Introduction to Business Analytics. 2. Data Analytics for Business. 3. Data Exploration in Business Analytics. 4. Mapping Chart for Analytics Outcome. 5. Technology Infrastructure for Business Analytics. SECTION II: PROCESSING 6. Inferential Statistics: Preparing to be a Data Scientist. 7. Analytical Methods for Parametric and Non-Parametric Data 8. Analytical Methods for Complex Data.9. Data Mining/ Machine Learning for Business Analytics. SECTION III: COMMUNICATING 10. Interpreting the Statistical Outcomes. 11. Documenting the Process. 12. Building the Storyboard of Outcomes. APPENDIX Appendix A: Case - Trasha Beverages Goes the Business Analytics Way Appendix B: Business Case - Using Analytics for Business Problem-solving Appendix C: Online Grocery Case Appendix D: Tips on Using Software Used in This Book.
SECTION I: PLANNING 1. Introduction to Business Analytics. 2. Data Analytics for Business. 3. Data Exploration in Business Analytics. 4. Mapping Chart for Analytics Outcome. 5. Technology Infrastructure for Business Analytics. SECTION II: PROCESSING 6. Inferential Statistics: Preparing to be a Data Scientist. 7. Analytical Methods for Parametric and Non-Parametric Data 8. Analytical Methods for Complex Data.9. Data Mining/ Machine Learning for Business Analytics. SECTION III: COMMUNICATING 10. Interpreting the Statistical Outcomes. 11. Documenting the Process. 12. Building the Storyboard of Outcomes. APPENDIX Appendix A: Case - Trasha Beverages Goes the Business Analytics Way Appendix B: Business Case - Using Analytics for Business Problem-solving Appendix C: Online Grocery Case Appendix D: Tips on Using Software Used in This Book.
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