Essentials of Business Analytics An Introduction to the Methodology and its Applications /
This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken ext...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
| Έκδοση: | 1st ed. 2019. |
| Σειρά: | International Series in Operations Research & Management Science,
264 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.-.
