Business Analytics by James J. Cochran, Jeffrey D. Camm, Michael J. Fry and Jeffrey W. Ohlmann (2023, Trade Paperback)

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Publication Date : Apr 3 2023.

About this product

Product Identifiers

PublisherCengage Learning
ISBN-100357902203
ISBN-139780357902202
eBay Product ID (ePID)3058366887

Product Key Features

Number of Pages900 Pages
Publication NameBusiness Analytics
LanguageEnglish
SubjectEconomics / General, Statistics
Publication Year2023
FeaturesRevised
TypeTextbook
Subject AreaBusiness & Economics
AuthorJames J. Cochran, Jeffrey D. Camm, Michael J. Fry, Jeffrey W. Ohlmann
FormatTrade Paperback

Dimensions

Item Height10.8 in
Item Weight73.6 Oz
Item Length1.6 in
Item Width8.4 in

Additional Product Features

Edition Number5
Intended AudienceCollege Audience
Dewey Edition23
IllustratedYes
Dewey Decimal658.4033
Edition DescriptionRevised edition
Table Of Content1. 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).
SynopsisDevelop 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 NumberHD30.23.C35 2023

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