Business Analytics, 3e
Author James Evans takes a fair and comprehensive, approach, examining business analytics from both descriptive and predictive perspectives.
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Business Analytics, 3e
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.
Features: Five Sections Guide Students Through The Information
- Part 1: Foundations of Business Analytics. The first two chapters provide the basic foundations needed to understand business analytics and Microsoft Excel, and show students how to manipulate data and develop simple spreadsheet models.
- Part 2: Descriptive Analytics. Chapters 3 through 7 cover the fundamental tools and methods of data analysis and statistics. These chapters focus on visual representations of data, descriptive statistical measures, probability distributions and data modeling, sampling and estimation, and statistical inference.
- Part 3: Predictive Analytics. Chapters 8 through 12 develop approaches for applying trendlines and regression analysis, forecasting and introductory data mining techniques, building and analyzing models on spreadsheets, and simulation and risk analysis.
- Part 4: Prescriptive Analytics. Chapters 13 and 14 explore linear, integer, and nonlinear optimization models and applications. Chapter 15 focuses on what-if and sensitivity analysis in optimization, and visualization of Solver reports.
- Part 5: Making Decisions. Chapter 16 focuses on philosophies, tools, and techniques of decision analysis.
Contents:
1. Introduction to Business Analytics
2. Database Analytics
3. Data Visualization
4. Descriptive Statistics
5. Probability Distributions and Data Modeling
6. Sampling and Estimation
7. Statistical Inference
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
13. Linear Optimization
14. Integer and Nonlinear Optimization
15. Optimization Analytics
16. Decision Analysis
| Book | |
|---|---|
| Author | Evans |
| Pages | 704 |
| Year | 2021 |
| ISBN | 9789390394586 |
| Publisher | Pearson |
| Language | English |
| Uncategorized | |
| Edition | 3/e |
| Weight | 1 kg |
| Dimensions | 20.3 x 25.4 x 4.7 cm |
| Binding | Paperback |