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MindTap for Business Analytics: Data Analysis and Decision Making

Author(s): S. Christian Albright | Wayne L. Winston

ISBN: 9780357392072

7th Edition

Copyright: 2020

India Release: 2022

₹850

Binding: eBook

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Guide your students in mastering data analysis, modeling and the effective use of spreadsheets with Albright/Winston's popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. This edition is more data-oriented than ever before with a new chapter covering the two main Power BI tools in Excel -- Power Query and Power Pivot -- and a section on data visualization with Tableau Public. Current problems, cases and examples highlight the relevance of the material. In addition, a Companion Website includes data and solutions files, PowerPoint slides, SolverTable for optimization sensitivity analysis and the Palisade DecisionTools Suite. MindTap digital resources are also available.

*Special prices for countries of South-Asia

  • EMPHASIS ON MODERN DATA ANALYSIS TOOLS EQUIPS STUDENTS FOR TODAY'S BUSINESS WORLD.
  • MINDTAP DIGITAL RESOURCES ACCELERATE STUDENT PROGRESS.
  • PRACTICAL TECHNICAL TIPS GUIDE STUDENTS IN APPLYING CONCEPTS TO ACTUAL BUSINESS PRACTICE.
  • NUMEROUS CONCEPTUAL QUESTIONS, PROBLEMS AND CASES HELP ENSURE UNDERSTANDING.
  • UPDATES REFLECT THE LATEST VERSION OF EXCEL FOR OFFICE 365, WINDOWS OR MAC.

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)

APPENDIX A: Quantitative Reporting (MindTap Reader only)

References            

Index

S. Christian Albright, Indiana University, School of Business (Emeritus)

Wayne L. Winston, Indiana University, Kelley School of Business (Emeritus)

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