Business Analytics, 3rd edition

Published by Pearson (July 15, 2020) © 2020

  • James R. Evans University of Cincinnati

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In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

Title overview

Business Analytics teaches the fundamental concepts of modern business analytics and provides vital tools in understanding how data analysis works in today's organizations. Author James Evans takes a fair and comprehensive approach, examining business analytics from both descriptive and predictive perspectives. You'll learn how to apply basic principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. And included access to analytics software gives you real-world experience and career-focused value.

As such, the 3rd Edition has gone through an extensive revision and now relies solely on Excel®. Additionally, Analytic Solver can now be found in online supplements to accommodate any new software updates, to prepare you to use these same tools when you graduate.

Table of contents

  1. Introduction to Business Analytics
    • Appendix A1: Basic Excel Concepts
  2. Database Analytics
  3. Data Visualization
    • Appendix A3: Additional Windows Tools for Data Visualization and Tableau Software
  4. Descriptive Statistics
    • Appendix A4: Additional Excel Windows Charts for Descriptive Statistics
  5. Probability Distributions and Data Modeling
  6. Sampling and Estimation
  7. Statistical Inference
  8. Trendlines and Regression Analysis
  9. Forecasting Techniques
    • Online Supplement: Advanced Forecasting Techniques Using XLMiner
  10. Introduction to Data Mining
  11. Spreadsheet Modeling and Analysis
  12. Monte Carlo Simulation and Risk Analysis
  13. Linear Optimization
  14. Integer and Nonlinear Optimization
  15. Optimization Analytics
  16. Decision Analysis

Author bios

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