000			01499nam a22002297a 4500
999			_c2349 _d2349
005			20220302151519.0
008			220302b ||||| |||| 00| 0 eng d
020			_a9788131527658
082			_a658.4033 _bCAM
100			_aCamm, Jeffrey D. _93573
245			_aEssentials of business analytics
260			_bCengage Learning India Pvt. Ltd. _aNew Delhi _c2021
300			_axix, 675 p.
365			_aINR _b750.00
504			_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			_aESSENTIALS 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			_aDecision making--Computer programs _95594
650			_aIndustrial management--Statistical methods--Computer programs _95595
650			_aDecision making--Mathematical models _91481
650			_aMicrosoft Excel (Computer file) _9850
942			_2ddc _cBK