Business Analytics: Data Analysis & Decision Making, 7th Edition

Business Analytics: Data Analysis & Decision Making, 7th Edition
  • eBook:
    Business Analytics: Data Analysis & Decision Making, 7th Edition
  • Author:
    S. Christian Albright, Wayne L. Winston
  • Edition:
    7 edition
  • Categories:
  • Data:
    April 2, 2019
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    984 pages
  • Format:

Book Description
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.


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 under Uncertainty
5. Probability and Probability Distributions
6. Decision Making under Uncertainty

PART 3 - Statistical Inference
7. Sampling and 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. Simulation 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)

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