Business analytics:methods, models and decision
Publication details: Noida Peasrson India Education Services Pvt. Ltd. 2017Edition: 2ned edDescription: 652 p. PpaerISBN:- 978-9332-582-09-5
- 658.472
This record has many physical items (220). View all the physical items.
Browsing Main Library shelves Close shelf browser (Hides shelf browser)
658.472 / DES / 9463 MANAGING KNOWLEDGE SECURITY:STRATEGIES FOR PROTECTING YOU COMPANYS INTELLECTUAL ASSETS | 658.472/Eva/38499 Business analytics: methods, models and decisions 3 | 658.472/ Eva/ Student Collecetion Business analytics:methods, models and decision | 658.472/ Eva/ Student Collecetion Business analytics:methods, models and decision | 658.472/ Eva/ Student Collecetion Business analytics:methods, models and decision | 658.472/ Eva/ Student Collecetion Business analytics:methods, models and decision | 658.472/ Eva/ Student Collecetion Business analytics:methods, models and decision |
Contents
PART 1: Foundations of Business Analytics
1. Introduction to Business Analytics
2. Analytics on Spreadsheets
Part 2: Descriptive Analytics
3. Visualizing and Exploring Data
4. Descriptive Statistical Measures
5. Probability Distributions and Data Modelling
6. Sampling and Estimation
7. Statistical Inference
Part 3: Predictive Analytics
8. Trendlines and Regression Analysis
9. Forecasting Techniques
10. Introduction to Data Mining
11. Spreadsheet Modelling and Analysis
12. Monte Carlo Simulation and Risk Analysis
Part 4: Prescriptive Analytics
13. Linear Optimization
14. Applications of Linear Optimization
15. Integer Optimization
16. Decision Analysis
Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today’s organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals and effectively use and interpret analytic models to make better business decisions. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive and predictive perspectives.
There are no comments on this title.