- Delivery: Can be download Immediately after purchasing
- Version: Only PDF Version.
- Compatible Devices: Can be read on any devices (Kindle, NOOK, Android/IOS devices, Windows, MAC)
- Quality: High Quality. No missing contents. Printable
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Authors: James R. Evans (Author)
For undergraduate or graduate business students.
A balanced and holistic approach to business analytics
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. Students 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 commercial grade analytics software gives students real-world experience and career-focused value. As such, the 3rd Edition has gone through an extensive revision and now relies solely on Excel, enhancing students’ skills in the program and basic understanding of fundamental concepts. Additionally, Analytic Solver can now be found in online supplements to accommodate any new software updates, so students are prepared to use these same tools when they graduate.
Brief Contents
Preface xvii
About the Author xxv
Credits xxvii
Part 1 Foundations of Business Analytics
Chapter 1 Introduction to Business Analytics 1
Chapter 2 Database Analytics 47
Part 2 Descriptive Analytics
Chapter 3 Data Visualization 85
Chapter 4 Descriptive Statistics 115
Chapter 5 Probability Distributions and Data Modeling 173
Chapter 6 Sampling and Estimation 219
Chapter 7 Statistical Inference 247
Part 3 Predictive Analytics
Chapter 8 Trendlines and Regression Analysis 283
Chapter 9 Forecasting Techniques 325
Chapter 10 Introduction to Data Mining 355
Chapter 11 Spreadsheet Modeling and Analysis 377
Chapter 12 Simulation and Risk Analysis 423
Part 4 Prescriptive Analytics
Chapter 13 Linear Optimization 465
Chapter 14 Integer and Nonlinear Optimization 523
Chapter 15 Optimization Analytics 565
Part 5 Making Decisions
Chapter 16 Decision Analysis 603
Appendix A 633
Glossary 657
Index 665
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