Business Analytics, Global Edition
2nd Edition
Published on 28. April 2016
Book
Paperback/Softback
656 pages
978-1-292-09544-8 (ISBN)
Description
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.
More details
Edition
2nd edition
Language
English
Place of publication
Harlow
United Kingdom
Target group
College/higher education
Dimensions
Height: 256 mm
Width: 207 mm
Thickness: 20 mm
Weight
1120 gr
ISBN-13
978-1-292-09544-8 (9781292095448)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
James Evans | James R. Evans
Business Analytics, Global Edition
Book
08/2020
3rd Edition
Pearson Education Limited
€105.99
Shipment within 10-20 days
Previous edition
James R. Evans
Business Analytics: Pearson New International Edition
Book
11/2013
Pearson Education Limited
€76.74
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Content
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
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