Business Analytics: Data Analysis & Decision Making (MindTap Course List) – Ebook PDF Instant Delivery – ISBN(s): 9780357109953,0357109953
Product details:
- ISBN-10 : 0399538542
- ISBN-13 : 978-0357109953
- Author: S. Christian Albright , Wayne L. Winston
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.
Table of contents:
Chapter 1 Introduction to business analytics
Chapter 2. Describing the Distribution of a Variable
Chapter 3. Finding Relationships among Variables
Chapter 4. Business Intelligence (BI) Tools for Data Analysis: Power Query
Chapter 5. Business Intelligence (BI) Tools for Data Analysis: Power Pivot
Chapter 6. Probability and Probability Distributions
Chapter 7. Decision Making Under Uncertainty
Chapter 8. Statistical Inference
Chapter 9. Regression Analysis: Estimating Relationships
Chapter 10. Regression Analysis: Statistical Inference
Chapter 11. Time Series Analysis and Forecasting
Chapter 12. Introduction to Optimization Modeling
Chapter 13. Optimization Models
Chapter 14. Introduction to Simulation Modeling
Chapter 15. Simulation Models
Chapter 16. Data Mining: Classification
Chapter 17. Data Mining: Clustering and Market Basket Analysis
Chapter 18. Analysis of Variance and Experimental Design
Chapter 19. Statistical Process Control
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