ISBN 9788131527658,Essentials of Business Analytics

Essentials of Business Analytics

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ISBN 9788131527658
Publisher

Cengage Learning

Publication Year 2015
ISBN-13

ISBN 9788131527658

ISBN-10 8131527654
Binding

Paperback

Number of Pages 700 Pages
Language (English)
Subject

Business

Essentials of Business Analytics provides coverage over the full range of analytics--descriptive, predictive, prescriptive--not covered by any other single book. It includes step-by-step instructions to help students learn how to use Excel and powerful but easy to use Excel add-ons such as XL Miner for data mining and Analytic Solver Platform for optimization and simulation.

Salient Features:

This book offers topical coverage over the full range of analytics--descriptive, predictive and prescriptive. It integrates several important analytics topics not covered by any other single book. It integrates a traditional quantitative methods curriculum with the concepts of data visualization and data mining that are of growing importance to students who will work in a world inundated with data. The coverage we provide is an elementary introduction accessible to an undergraduate but rooted in practicality
Excel is completely integrated throughout the book, so students learn the latest methods for solving practical problems. It includes step-by-step instructions to help students learn how to use Excel to apply material in the book. It also includes by-hand calculation approaches to convey insights when this is appropriate
Step-by-step instructions show students how to use various software programs to perform the analyses discussed in the text. It uses easy-to-use but powerful Excel add-ons such as XL Miner for data mining and Analytic Solver Platform for optimization and simulation
Appendices provide valuable coverage of data management including the use of Microsoft Excel and Access
Practical, relevant problems at a variety of difficulty levels help students learn the material. Applications are drawn from all functional business areas: finance, marketing, operations, etc. Data sets are available for most exercises and cases
There is a wide range of problems to select for assignments
Clear exposition and excellent examples have been written for each topic
This book offers a strong orientation towards visual presentation of data and results
Table of Contents:

What Is Business Analytics?
Descriptive Statistics
Data Visualization
Linear Regression
Time Series Analysis and Forecasting
Data Mining
Spreadsheet Models
Linear Optimization Models
Integer Linear Optimization
Nonlinear Optimization Models
Monte Carlo Simulation
Decision Analysis
Appendix A: Basics of Excel
Appendix B: Data Management and Microsoft Access

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