Business analytics
communicating with numbers
Business analytics : communicating with numbers
creator
Kelly, Alison; Lertwachara, Kevin; Chen, Leida
text
xx
New York
McGraw Hill
©2023
2023
Second edition, International student editon
monographic
und
xxv, 774 pages: Illustrations
28 cm
CHAPTER 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
Sanjiv Jaggia [and three others].
Includes index
in English
Business planning
Statistical methods
Decision making Statistical methods
Industrial management
Statistical methods
658.4033 C42b 2023
9781265087685
251212
20260803094235.0