About this product

Product Identifiers

PublisherPearson Education

ISBN-100321997824

ISBN-139780321997821

eBay Product ID (ePID)203325841

Product Key Features

Number of Pages664 Pages

Publication NameBusiness Analytics

LanguageEnglish

Publication Year2014

SubjectIndustrial Management, Strategic Planning, Statistics

TypeTextbook

AuthorJames Evans

Subject AreaBusiness & Economics

FormatTrade Paperback

Dimensions

Item Height0.4 in

Item Weight36.7 Oz

Item Length0.4 in

Item Width0.4 in

Additional Product Features

Edition Number2

Intended AudienceCollege Audience

LCCN2014-017342

Dewey Edition23

Dewey Decimal658.4/01

Table Of ContentBrief Contents Preface About the Author PART 1: Foundations of Business Analytics 1. Introduction to Business Analytics 2. Analytics on Spreadsheets Part 2: Descriptive Analytics 3. Visualizing and Exploring Data 4. Descriptive Statistical Measures 5. Probability Distributions and Data Modeling 6. Sampling and Estimation 7. Statistical Inference Part 3: Predictive Analytics 8. Trendlines and Regression Analysis 9. Forecasting Techniques 10. Introduction to Data Mining 11. Spreadsheet Modeling and Analysis 12. Monte Carlo Simulation and Risk Analysis Part 4: Prescriptive Analytics 13. Linear Optimization 14. Applications of Linear Optimization 15. Integer Optimization 16. Decision Analysis Supplementary Chapter A (online): Nonlinear and Non-Smooth Optimization Supplementary Chapter B (online): Optimization Models with Uncertainty Appendix A Glossary Index

SynopsisBusiness Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today's organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives. KEY TOPICS: Foundations of Business Analytics; Introduction to Business Analytics; Analytics on Spreadsheets; Descriptive Analytics; Visualizing and Exploring Data; Descriptive Statistical Measures; Probability Distributions and Data Modeling; Sampling and Estimation; Statistical Inference; Predictive Analytics; Trendlines and Regression Analysis; Forecasting Techniques; Introduction to Data Mining; Spreadsheet Modeling and Analysis; Monte Carlo Simulation and Risk Analysis; Prescriptive Analytics; Linear Optimization; Applications of Linear Optimization; Integer Optimization; Decision Analysis MARKET: For all readers interested in business analytics., Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today's organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives., For undergraduate or graduate business students. A balanced and holistic approach to business analytics Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today's organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives.

LC Classification NumberHD30.28.E824 2016