Business Analytics, Global Edition

Author:   James Evans
Publisher:   Pearson Education Limited
Edition:   3rd edition
ISBN:  

9781292339061


Pages:   704
Publication Date:   18 August 2020
Format:   Paperback
Availability:   Available To Order   Availability explained
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Business Analytics, Global Edition


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Overview

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 organisations. 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. Samples Download the detailed table of contents > Preview sample pages from Business Analytics >

Full Product Details

Author:   James Evans
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   3rd edition
Dimensions:   Width: 20.30cm , Height: 2.10cm , Length: 25.30cm
Weight:   1.270kg
ISBN:  

9781292339061


ISBN 10:   1292339063
Pages:   704
Publication Date:   18 August 2020
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of 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 Download the detailed table of contents >

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