Business analytics : communicating with numbers / Sanjiv Jaggia [and three others].

By: Contributor(s): Material type: TextTextPublication details: New York : McGraw Hill, ©2023.Edition: Second edition, International student editonDescription: xxv, 774 pages: Illustrations; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781265087685
Subject(s): LOC classification:
  • 658.4033 C42b 2023
Contents:
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
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Holdings
Item type Current library Call number Status Barcode
Books Books FEU - Cavite Higher Education HED Library CIR CIR 658.4033 B97 2023 (Browse shelf(Opens below)) Available HED6426

Includes index

in English

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

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