Business analytics: data analysis and decision making

By:

Albright, S. Christian

Contributor(s):

Winston, Wayne L

Material type: Text

TextPublication details: Cengage Learning India Pvt. Ltd. New Delhi 2021Edition: 6thDescription: xxiv, 952 pISBN:

9789353502553

Subject(s):

DDC classification:

658.403 ALB

Summary: Students will master data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! Popular with students, instructors, and practitioners, this quantitative methods text delivers the tools to succeed with its proven teach-by-example approach, student-friendly writing style, and complete Excel 2016 integration. It is also compatible with Excel 2013, 2010, and 2007. Completely rewritten, Chapter 17, Data Mining, and Chapter 18, Importing Data into Excel, offer increased emphasis on tools commonly included under the Business Analytics umbrella -- such as Microsoft Excel’s “Power BI” suite. Up-to-date problem sets and cases provide realistic examples to show the relevance of the material.

List(s) this item appears in: IT & Decision Sciences | Public Policy & General Management

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	658.403 ALB (Browse shelf(Opens below))	1	Available		001911

1. Introduction to Business Analytics.

Part 1: EXPLORING DATA.

2. Describing the Distribution of a Single Variable.

3. Finding Relationships among Variables.

Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY.

4. Probability and Probability Distributions.

5. Normal, Binomial, Poisson, and Exponential 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.

Part 7: BONUS ONLINE MATERIAL.

18. Importing Data into Excel.

19. Analysis of Variance and Experimental Design.

20. Statistical Process Control.

Appendix A: Statistical Reporting.

Students will master data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! Popular with students, instructors, and practitioners, this quantitative methods text delivers the tools to succeed with its proven teach-by-example approach, student-friendly writing style, and complete Excel 2016 integration. It is also compatible with Excel 2013, 2010, and 2007. Completely rewritten, Chapter 17, Data Mining, and Chapter 18, Importing Data into Excel, offer increased emphasis on tools commonly included under the Business Analytics umbrella -- such as Microsoft Excel’s “Power BI” suite. Up-to-date problem sets and cases provide realistic examples to show the relevance of the material.

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