| 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 |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고7층/ | 청구기호 658.401 E92b2 | 등록번호 111820919 (1회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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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정보제공 :
목차
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