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Business Analytics: Data Analysis and Decision Making with MindTap

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

ISBN: 9789366603438

8th Edition

₹1325

Binding: Paperback

Pages: 880

Trim Size : 279 x 216 mm

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Master data analysis, modeling and spreadsheets with Albright/Winston's BUSINESS ANALYTICS: DATA ANALYSIS & DECISION MAKING, 8TH EDITION. This analytical approach delivers a proven teach-by-example approach, student-friendly writing and integration with Excel. The data-oriented new edition covers the two main Power BI tools in Excel, Power Query and Power Pivot, and includes sections on implementing these tools in Power BI Desktop. Current problems and cases demonstrate the importance of the concepts you are learning. MindTap, the online learning platform, provides a wealth of helpful study tools such as interactive eBook, Excel assignments and homework, videos and much more.

Practical application focus: Integrated technical tips help students apply concepts to real business decisions using tools like Excel, PivotTables, Solver, StatTools, and @RISK.
Extensive practice material: ~200 conceptual questions, 1,000 problems, and 40 cases, all with Excel-based solutions to reinforce learning.
Engaging chapter design: Real-world illustrations at the start of chapters highlight relevance to modern business contexts.
Emphasis on key concepts: Important equations and ideas are boxed; margin notes and “Fundamental Insight” features highlight critical takeaways.
Step-by-step business examples: 130+ real-world examples with clear walkthroughs and screenshots for easy understanding and replication.
Modern data analytics tools: Covers traditional methods plus Excel advanced features (Data Model, Power Query, Power Pivot), Power BI, and R.
MindTap learning platform: Interactive eBook with datasets, solutions, Excel activities, randomized assignments, and video tutorials for hands-on practice.
New Power BI-focused chapters
Power BI Desktop integration: New sections on analytics, querying, and reporting using free Power BI tools.
Expanded data mining coverage: Two chapters on classification, clustering, and market basket analysis, using Excel and R.
Streamlined statistics content: Statistical inference condensed into one efficient chapter while retaining key concepts.

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: Power Query
5. Business Intelligence (BI) Tools for Data Analysis: Power Pivot
Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY
6. Probability and Probability Distributions
7. Decision Making under Uncertainty
Part 3: STATISTICAL INFERENCE, REGRESSION ANALYSIS, and TIME SERIES FORECASTING
8. Statistical Inference
9. Regression Analysis: Estimating Relationships
10. Regression Analysis: Statistical Inference
11. Time Series Analysis and Forecasting
Part 4: OPTIMIZATION AND SIMULATION MODELING
12. Introduction to Optimization Modeling
13. Optimization Models
14. Introduction to Simulation Modeling
15. Simulation Models
Part 5: ADVANCED DATA ANALYSIS
16. Data Mining: Classification
17. Data Mining: Clustering and Market Basket Analysis
ONLINE MATERIAL
18. Analysis of Variance and Experimental Design
19. Statistical Process Control
Appendix A: Statistical Reporting

S. Christian Albright

S. Christian Albright received both his B.S. degree in mathematics and his Ph.D. in operations research from Stanford.

Wayne L. Winston

Wayne L. Winston is Professor Emeritus of Decision Sciences at the Kelley School of Business at Indiana University and is now Professor of Decision and Information Sciences at the Bauer College at the University of Houston.