Essentials of Business Analytics

An Introduction to the Methodology and its Applications

Inbunden, Engelska, 2019

AvBhimasankaram Pochiraju,Sridhar Seshadri

1 649 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems.

Produktinformation

Utgivningsdatum2019-07-30
Mått155 x 235 x 52 mm
Vikt1 724 g
FormatInbunden
SpråkEngelska
SerieInternational Series in Operations Research & Management Science
Antal sidor980
FörlagSpringer International Publishing AG
ISBN9783319688367

Tillhör följande kategorier

Matematisk statistik inom Naturvetenskap och teknik
Företagsekonomi inom Ekonomi och ledarskap
Ledarskap och motivation inom Ekonomi och ledarskap
Affärsförhandlingar inom Ekonomi och ledarskap
Databaser inom Data och it

Bhimasankaram Pochiraju obtained his Ph.D. in Statistics from the Indian Statistical Institute. He was the Clinical Professor of Statistics, Executive Director of Applied Statistics and Computing Lab and Faculty Director, Certificate Programme in Business Analytics at the Indian School of Business. He was formerly Professor of Statistics and Head, SQC & OR Division at the Indian Statistical Institute. He co-authored a text book and a research monograph in Linear Algebra. His areas of research interest include Analytics, Causal Inference and Linear Algebra. Sridhar Seshadri obtained his PhD at the University of California, Berkeley after graduating from the Indian Institute of Technology, Madras, India and the Indian Institute of Management, Ahmedabad, India. He is currently Professor and Area Leader of IS, Operations Management and Supply Chain Management areas at the Geis College of Business. He has also been a faculty member at The Indian School of Business, The University of Texas at Austin, New York University and the Administrative Staff College of India. During his teaching career, he was awarded the Stern School of Business Teaching Excellence Award (1998) and recognized as the Stern School of Business Undergraduate Teacher of the Year in 1997. His current research includes Analytics, Pricing and Revenue Optimization and Risk Management in supply chains.

Chapter 1. Introduction.- Chapter 2. Data Collection.- Chapter 3. Data Management – Relational Database Systems (RDBMS).- Chapter 4. Big Data Management.- Chapter 5. Data Visualization.- Chapter 6. Statistical Methods-Basic inferences.- Chapter 7. Statistical Methods-Regression.- Chapter 8. Advanced Regression Analysis.- Chapter 9. Text Analytics.- Chapter 10. Simulation.- Chapter 11. Introduction to Optimization.- Chapter 12. Forecasting Analytics.- Chapter 13. Count Data Regression.- Chapter 14. Survival Analysis.- Chapter 15. Machine Learning (Unsupervised).- Chapter 16. Machine Learning (Supervised).- Chapter 17. Deep Learning.- Chapter 18. Retail Analytics.- Chapter 19. Marketing Analytics.- Chapter 20. Financial Analytics.- Chapter 21. Social Media and Web Analytics.- Chapter 22. Healthcare Analytics.- Chapter 23. Pricing Analytics.- Chapter 24. Supply Chain Analytics.- Chapter 25. Case study: Ideal Insurance.- Chapter 26. Case study: AAA Airline.- Chapter 27. Case study: Informedia Solutions.- Chapter 28. Appendix 1: Introduction to R.- Chapter 29. Appendix 2: Introduction to Python.- Chapter 30. Appendix 3: Probability and Statistics.-