Business Analytics: Data Analysis & Decision Making 8th Intn

Description: Guide students in mastering data analysis, modeling and spreadsheets with Albright/Winston's BUSINESS ANALYTICS: DATA ANALYSIS & DECISION MAKING, CENGAGE INTERNATIONAL EDITION, 8TH EDITION. This analytical approach delivers a proven teach-by-example approach, student-friendly writing and integration with Excel. The data-oriented new edition covers the two main Power BI tools in Excel, Power Query and Power Pivot, and includes sections on implementing these tools in Power BI Desktop. This edition also contains expanded coverage of data mining and numerous new appendices on the use of the R language for data analysis. Current problems, cases and examples highlight the relevance of the concepts. MindTap, the online learning platform, provides engaging experiences that boost student performance by delivering crucial experience with a wealth of study tools such as auto-graded Excel assignments and homework, videos and much more.


Contents: 1. Introduction to Business Analytics. Part 1: DATA ANALYSIS. 2. Describing the Distribution of a Variable. 3. Finding Relationships among Variables. 4. Business Intelligence (BI) Tools for Data Analysis: Power Query. 5. Business Intelligence (BI) Tools for Data Analysis: Power Pivot. Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY. 6. Probability and Probability Distributions. 7. Decision Making under Uncertainty. Part 3: STATISTICAL INFERENCE, REGRESSION ANALYSIS, and TIME SERIES FORECASTING. 8. Statistical Inference. 9. Regression Analysis: Estimating Relationships. 10. Regression Analysis: Statistical Inference. 11. Time Series Analysis and Forecasting. Part 4: OPTIMIZATION AND SIMULATION MODELING. 12. Introduction to Optimization Modeling. 13. Optimization Models. 14. Introduction to Simulation Modeling. 15. Simulation Models. Part 5: ADVANCED DATA ANALYSIS. 16. Data Mining: Classification. 17. Data Mining: Clustering and Market Basket Analysis. Part 7: BONUS ONLINE MATERIAL. 18. Analysis of Variance and Experimental Design. 19. Statistical Process Control. Appendix A: Statistical Reporting.


Author Biography: Wayne L. Winston is Professor Emeritus of Decision Sciences at the Kelley School of Business at Indiana University and is now Professor of Decision and Information Sciences at the Bauer College at the University of Houston. Dr. Winston has received more than 45 teaching awards and is a six-time recipient of the school-wide M.B.A. award. His current interest focuses on showing how to use spreadsheet models to solve business problems in all disciplines, particularly in finance, sports and marketing. In addition to publishing more than 20 articles in leading journals, Dr. Winston has written successful textbooks on topics including operations research, mathematical programming, simulation modeling, spreadsheet modeling, data analysis for managers, marketing analytics and more. Dr. Winston received his B.S. degree in mathematics from MIT and his Ph.D. in operations research from Yale. S. Christian Albright received both his B.S. degree in mathematics and his Ph.D. in operations research from Stanford University. He then taught in the Operations and Decision Technologies Department in the Kelley School of Business at Indiana University until his retirement in 2011. He has taught courses in management science, computer simulation and statistics to all levels of business students, including undergraduate, M.B.A. and Ph.D. students. He has published more than 20 articles in leading operations research journals in applied probability. After retiring, he worked for several years for the Palisade Software Company and is the author of several successful textbooks.