Data Analysis for Business Decisions Third Edition

Case Studies in Excel, R, and ChatGPT

Paperback
December 2024
9781683929345
More details
  • Publisher
    Mercury Learning and Information
  • Published
    19th December
  • ISBN 9781683929345
  • Language English
  • Pages 426 pp.
  • Size 7" x 9"
$64.99
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December 2024
9781683929321
More details
  • Publisher
    Mercury Learning and Information
  • ISBN 9781683929321
  • Language English
  • Pages 426 pp.
  • Size 7" x 9"
$64.99
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December 2024
9781683929338
More details
  • Publisher
    Mercury Learning and Information
  • ISBN 9781683929338
  • Language English
  • Pages 426 pp.
  • Size 7" x 9"
$165.00

In today’s data-driven world, the ability to analyze and interpret data is no longer optional—it’s a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to mastering the essential techniques and tools that empower business analysts to transform raw data into actionable insights. Packed with practical exercises and real-world case studies, this book focuses on applying statistical methods across the most widely used tools, including Excel, R, Python, and generative AI platforms like ChatGPT. Key topics include framing analytical questions, descriptive and advanced statistical techniques, text analytics and A/B testing, and big data and visualization. Whether analyzing sales trends, optimizing marketing strategies, or improving operational efficiency, you’ll gain the skills to make data-backed decisions that drive business success.

FEATURES:

  • Includes hands-on exercises with industry-standard tools, including Excel, R, Python, and generative AI
  • Covers step-by-step instructions for advanced techniques like time series forecasting and contingency analysis
  • Uses real-world case studies to demonstrate the application of concepts to business scenarios
  • Features companion files with datasets, surveys, and cases (available for downloading from the publisher)

1: Data Analysis and Business
2: Framing Analytical Questions
3: Shaping and Cleaning Data
4: Installing the Analysis Tools
5: Descriptive Statistics
6: Histograms
7: Pareto Analysis
8: Scatter Plots
9: Correlation and Linear Regression
10: Multivariate Regression
11: Forecasting and Time Series
12: Inferential Statistics
13: Contingency Analysis
14: A/B Testing
15: Text Analytics
16: Analyzing Big Data Sets
17: Data Visualization
18: Summary of Analysis Techniques
Appendix: Data Sources
Index

Andres Fortino

Andres Fortino, PhD holds an appointment as a Clinical Associate Professor of Management and Systems at the NYU School of Professional Studies, where he teaches business analytics, data mining, and data visualization. He also leads his own consulting company, Fortino Global Education. Dr. Fortino has published ten books and over 40 academic papers and has made over 100 technical presentations. He received IBM's First Invention Level Award for his work in semiconductor research. He holds three US patents and ten invention disclosures. He is a Senior Member of the IEEE, and a member of the Academy of Management, INFORMS and the Decision Science Institute.

Data analysis; business analytics; descriptive statistics; multivariate regression; forecasting; text analytics; A/B testing; data visualization; big data; statistical methods