Spreadsheet Modeling and Decision Analysis
eBook - PDF

Spreadsheet Modeling and Decision Analysis

A Practical Introduction to Business Analytics

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Spreadsheet Modeling and Decision Analysis

A Practical Introduction to Business Analytics

About this book

Master key spreadsheet and business analytics skills with SPREADSHEET MODELING AND DECISION ANALYSIS: A PRACTICAL INTRODUCTION TO BUSINESS ANALYTICS, 9E, written by respected business analytics innovator Cliff Ragsdale. This edition's clear presentation, realistic examples, fascinating topics and valuable software provide everything you need to become proficient in today's most widely used business analytics techniques using the latest version of Excel® in Microsoft® Office 365 or Office 2019. Become skilled in the newest Excel functions as well as Analytic Solver® and Data Mining add-ins. This edition helps you develop both algebraic and spreadsheet modeling skills. Step-by-step instructions and annotated, full-color screen images make examples easy to follow and show you how to apply what you learn about descriptive, predictive and prescriptive analytics to real business situations. WebAssign online tools and author-created videos further strengthen understanding.

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Yes, you can access Spreadsheet Modeling and Decision Analysis by Cliff Ragsdale in PDF and/or ePUB format, as well as other popular books in Économie & Statistiques pour les entreprises et l'économie. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Preface
  3. Brief Contents
  4. Contents
  5. Chapter 1: Introduction to Modeling and Decision Analysis
  6. Chapter 2: Introduction to Optimization and Linear Programming
  7. Chapter 3: Modeling and Solving LP Problems in a Spreadsheet
  8. Chapter 4: Sensitivity Analysis and the Simplex Method
  9. Chapter 5: Network Modeling
  10. Chapter 6: Integer Linear Programming
  11. Chapter 7: Goal Programming and Multiple Objective Optimization
  12. Chapter 8: Nonlinear Programming and Evolutionary Optimization
  13. Chapter 9: Regression Analysis
  14. Chapter 10: Data Mining
  15. Chapter 11: Time Series Forecasting
  16. Chapter 12: Introduction to Simulation Using Analytic Solver
  17. Chapter 13: Queuing Theory
  18. Chapter 14: Decision Analysis
  19. Chapter 15: Project Management
  20. Index