000 02153nam a2200373Ia 4500
005 20260803094235.0
008 251212s2023 xx 000 0 und d©©©
245 1 _aBusiness analytics :
_bcommunicating with numbers /
_cSanjiv Jaggia [and three others].
100 _aBusiness analytics : communicating with numbers
700 _aKelly, Alison; Lertwachara, Kevin; Chen, Leida
260 _aNew York :
_bMcGraw Hill,
_c©2023.
250 _aSecond edition, International student editon
300 _axxv, 774 pages:
_bIllustrations
300 _c28 cm
500 _aIncludes index
020 _a9781265087685
650 _aBusiness planning
_xStatistical methods
650 _aDecision making Statistical methods
650 _aIndustrial management
_xStatistical methods
944 _aCIR
050 _a658.4033 C42b 2023
943 _b0
_c0
_d0
_e1
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_h1
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944 _b1
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953 _pHED6426
546 _ain English
953 _cCollege Library
505 _aCHAPTER 1: Introduction to Business AnalyticsCHAPTER 2: Data Management and WranglingCHAPTER 3: Summary MeasuresCHAPTER 4: Data VisualizationCHAPTER 5: Probability and Probability DistributionsCHAPTER 6: Statistical InferenceCHAPTER 7: Regression AnalysisCHAPTER 8: Introduction to Data MiningCHAPTER 9: More Topics in Regression AnalysisCHAPTER 10: Logistic Regression ModelsCHAPTER 11: Supervised Data Mining: kNN and Naive BayesCHAPTER 12: Supervised Data Mining: Decision TreesCHAPTER 13: Unsupervised Data MiningCHAPTER 14: Forecasting with Time Series DataCHAPTER 15: Spreadsheet ModellingCHAPTER 16: Risk and SimulationCHAPTER 17: Optimization: Linear ProgrammingCHAPTER 18: Optimization: Integer and Nonlinear ProgrammingAPPENDIX A Big Data Sets: Variable Description and Data DictionaryAPPENDIX B Getting Started with Excel and Excel Add-InsAPPENDIX C Getting Started with RAPPENDIX D Statistical TablesAPPENDIX E Answers to Selected Exercises
591 _a0
336 _atext
337 _aunmediated
338 _avolume
942 _2lcc
_cBK
_ajpascua
_b2023-07-26 15:16:49
_ddsolimen
_e2024-10-16 15:50:10
998 _a11977
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