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Business Analytics - Paperback, by Camm Jeffrey; Cochran James; Fry - Very Good

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Last updated on Apr 29, 2025 05:10:17 EDTView all revisionsView all revisions

Item specifics

Condition
Very Good: A book that does not look new and has been read but is in excellent condition. No obvious ...
Book Title
Business Analytics
ISBN
9780357902202

About this product

Product Identifiers

Publisher
Cengage Learning
ISBN-10
0357902203
ISBN-13
9780357902202
eBay Product ID (ePID)
3058366887

Product Key Features

Number of Pages
900 Pages
Publication Name
Business Analytics
Language
English
Publication Year
2023
Subject
Economics / General, Statistics
Features
Revised
Type
Textbook
Subject Area
Business & Economics
Author
James J. Cochran, Jeffrey D. Camm, Michael J. Fry, Jeffrey W. Ohlmann
Format
Trade Paperback

Dimensions

Item Height
10.8 in
Item Weight
73.6 Oz
Item Length
1.6 in
Item Width
8.4 in

Additional Product Features

Edition Number
5
Intended Audience
College Audience
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
658.4033
Table Of Content
1. Introduction.2. Descriptive Statistics.3. Data Visualization.4. Data Wrangling.5. Probability: An Introduction to Modeling Uncertainty.6. Descriptive Data Mining.7. Statistical Inference.8. Linear Regression.9. Time Series Analysis and Forecasting.10. Predictive Data Mining: Regression.11. Predictive Data Mining: Classification.12. Spreadsheet Modeling.13. Monte Carlo Simulation.14. Linear Optimization Models.15. Integer Linear Optimization Models.16. Nonlinear Optimization Models.17. Decision Analysis.Appendix A: Basics of Excel.Appendix B: Database Basics with Microsoft Access.Appendix C: Solutions to Even-Numbered Questions (online).
Edition Description
Revised edition
Synopsis
Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.
LC Classification Number
HD30.23.C35 2023

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