For undergraduate or graduate business students.   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 organizations. 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. Additionally, Analytic Solver can now be found in online supplements to accommodate any new software updates, so students are prepared to use these same tools when they graduate. Also available with MyLab Business Statistics By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student. For example, new Excel and StatCrunch Projects help students develop business decision-making skills.   Note: You are purchasing a standalone product; MyLab Business Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Business Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab Business Statistics, search for:   013586027X / 9780135860274 Business Analytics Plus MyLab Statistics with Pearson eText -- Access Card Package    Package consists of: 0135231671 / 9780135231678 Business Analytics0135229294 / 9780135229293 MyLab Statistics with Pearson eText -- Standalone Access Card -- for Business Analytics  
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Introduction to Business Analytics Appendix A1: Basic Excel ConceptsDatabase AnalyticsData Visualization Appendix A3: Additional Windows Tools for Data Visualization and Tableau SoftwareDescriptive Statistics Appendix A4: Additional Excel Windows Charts for Descriptive StatisticsProbability Distributions and Data ModelingSampling and EstimationStatistical InferenceTrendlines and Regression AnalysisForecasting Techniques Online Supplement: Advanced Forecasting Techniques Using XLMinerIntroduction to Data MiningSpreadsheet Modeling and AnalysisMonte Carlo Simulation and Risk AnalysisLinear OptimizationInteger and Nonlinear OptimizationOptimization AnalyticsDecision Analysis
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New and updated features of this title NEW: Material covers the latest business analytics principles and techniques. It includes using Excel to manage spreadsheet data (Ch. 2); combinations and permutations (Ch. 5); using data visualization for confidence interval comparison (Ch. 6); Excel approaches for double exponential smoothing (Ch. 9); data mining techniques (Ch. 10); and Solver functionality (Ch. 15).UPDATED: End-of-Chapter Problems and Exercises help reinforce the material in the chapter, and have been revised for added clarity.NEW: An Appendix in Chapter 1 reviews basic Excel skills, and is used throughout the book.NEW: Technology Help boxes provide useful summaries of key Excel functions and procedures.NEW: The 3rd Edition now relies solely on native Excel, and is independent of platforms. This makes it easy to use for students with either PCs or Macs.UPDATED: Online supplements provide detailed info and examples for using StatCrunch and Analytic Solver for Education. These provide more powerful tools for data mining, Monte-Carlo simulation, optimization, and decision analysis.
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Produktdetaljer

ISBN
9780135231678
Publisert
2019-02-04
Utgave
3. utgave
Utgiver
Vendor
Pearson
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
704

Forfatter