Business analytics : data analysis and decision making [printed text] / S. Christian Albright, Author ; Wayne L. Winston, Author  . -  7th . - Boston (20 Channel Center Street, 02210, USA) : Cengage Learning, 2017 . - 882 p. : ill col. ; 37 mm.
ISBN : 978-0-357-10995-3 : €87.50
Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. The quantitative methods approach in this edition helps you maximize your success with a proven teach-by-example presentation, inviting writing style and complete integration of the latest version of Excel. The approach is also compatible with earlier versions of Excel for your convenience. This edition is more data-oriented than ever before with a new chapter on the two main Power BI tools in Excel -- Power Query and Power Pivot -- and a new section of data visualization with Tableau Public. Current problems and cases demonstrate the importance of the concepts you are learning. In addition, a useful Companion Website provides data and solutions files, SolverTable for optimization sensitivity analysis and Palisade DecisionTools Suite. MindTap online resources are also available.

Class number:

658.403

Contents note:

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 Part 2: Probability and decision making underr uncertainty 5. Probability and probability distributions; 6. Decision making under uncertainty Part 3: Statistical inference 7. Sampling sampling distributions; 8. Confidence interval estimation; 9. Hypothesis testing Part 4: Regression analysis and time series forecasting 10. Regression analysis: estimating relationships; 11. Regression analysis: statistical inference; 12. Time series analysis and forecasting Part 5: Optimization and simulation modeling 13. Introduction to optimization modeling; 14. Optimization models; 15. Introduction to simulation modeling; 16. Simulations models Part 6: Advanced data analysis 17. Data mining; 18. Analysis of variance and experimental design [mindtap reader only]; 19. Statistical process control [mindtap reader only]; Appendix A: quantitative reporting [mindtap reader only]