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005 | 20190208165826.0 | ||
008 | 190208b ||||| |||| 00| 0 eng d | ||
020 | _a9788131527658 | ||
040 | _cIIMV | ||
082 | _a658.4033 | ||
100 |
_aJeffrey D Camm _eAuthor _9891 |
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245 |
_aEssentials of Business Analytics: _bDescriptive, Predictive, Prescriptive/ _cby Jeffrey D Camm |
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260 |
_bCengage Learning _aIndia _c2015 |
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300 |
_axix, 675 pages: _bIllustrations; _c25 cm. |
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505 | _a1. What Is Business Analytics? 2. Descriptive Statistics. 3. Data Visualization. 4. Linear Regression. 5. Time Series Analysis and Forecasting. 6. Data Mining. 7. Spreadsheet Models. 8. Linear Optimization Models. 9. Integer Linear Optimization. 10. Nonlinear Optimization Models. 11. Monte Carlo Simulation. 12. Decision Analysis. Appendix A: Basics of Excel. Appendix B: Data Management and Microsoft Access. | ||
520 | 0 | _a'ESSENTIALS OF BUSINESS ANALYTICS provides coverage over the full range of analyticsdescriptive, predictive, prescriptivenot covered by any other single book. It includes step-by-step instructions to help students learn how to use Excel and powerful but easy to use Excel add-ons such as XL Miner for data mining and Analytic Solver Platform for optimization and simulation. | |
650 | 0 | _2Business Analytics | |
700 |
_aJames J. Cochran _9892 |
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700 |
_aMichael J. Fry _9893 |
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700 |
_aJeffrey W. Ohomann _9894 |
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942 |
_2ddc _cBK |