| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046010633 | |
| 005 | 20191230194733 | |
| 008 | 191230s2017 enka 001 0 eng d | |
| 020 | ▼a 9781292095448 | |
| 020 | ▼a 129209544X | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 0 | ▼a 658.4/01 ▼2 23 |
| 084 | ▼a 658.401 ▼2 DDCK | |
| 090 | ▼a 658.401 ▼b E92b2 | |
| 100 | 1 | ▼a Evans, James R. ▼q (James Robert), ▼d 1950-. |
| 245 | 1 0 | ▼a Business analytics : ▼b methods, models, and decisions / ▼c James R. Evans. |
| 250 | ▼a 2nd ed., global ed. | |
| 260 | ▼a Harlow, Essex, England : ▼b Pearson education Limited, ▼c c2017. | |
| 300 | ▼a 652 p. : ▼b ill. (chiefly col.) ; ▼c 26 cm. | |
| 500 | ▼a Includes index. | |
| 505 | 0 | ▼a Preface -- About the author -- Foundations of business analytics -- Introduction to business analytics -- Analytics on spreadsheets -- Descriptive analytics -- Visualizing and exploring data -- Descriptive statistical measures -- Probability distributions and data modeling -- Sampling and estimation -- Statistical inference -- Predictive analytics -- Predictive modeling and analysis -- Regression analysis -- Forecasting techniques -- Simulation and risk analysis -- Introduction to data mining -- Prescriptive analytics -- Linear optimization -- Applications of linear optimization -- Integer optimization -- Nonlinear and non-smooth optimization -- Optimization models with uncertainty -- Making decision -- Decision analysis -- Appendix A -- Appendix B -- Glossary -- Index. |
| 650 | 0 | ▼a Business planning. |
| 650 | 0 | ▼a Strategic planning. |
| 650 | 0 | ▼a Industrial management ▼x Statistical methods. |
| 945 | ▼a KLPA |
Holdings Information
| No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
|---|---|---|---|---|---|---|---|
| No. 1 | Location Main Library/Western Books/ | Call Number 658.401 E92b2 | Accession No. 111820919 (1회 대출) | Availability Available | Due Date | Make a Reservation | Service |
Contents information
Book Introduction
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. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives.
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Table of Contents
Brief Contents Preface About the Author 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 Modeling 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 Modeling 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 Supplementary Chapter A (online): Nonlinear and Non-Smooth Optimization Supplementary Chapter B (online): Optimization Models with Uncertainty Appendix A Glossary Index