Announcing the Publication of the New Edition of Business Analytics: Communicating with Numbers, by Jaggia, Kelly, Lertwachara, and Chen, 2025 Evergreen Edition

[Leida Chen]

 Dear Colleagues,
If you teach Business or Data Analytics, you may be interested in the
recently published new edition of the popular textbook, *Business
Analytics: Communicating with Numbers*, authored by Jaggia, Kelly,
Lertwachara, and Chen, published by McGraw-Hill. The text was named Product
of the Year for McGraw-Hill and widely adopted by business/data analytics
courses at both the undergraduate and graduate levels.
Using a project-based pedagogical approach, this text seamlessly threads
the topics of data wrangling, descriptive analytics, predictive analytics,
data mining and machine learning, prescriptive analytics, and data
storytelling into a cohesive whole. Hands-on instructions for Excel,
Analytic Solver (Excel Add-in), R, and Python are included in each chapter.
In addition to detailed analytics cases for illustrating the concepts and
techniques, each chapter comes with over 50 hands-on exercise problems with
datasets and Writing with Big Data cases. Please see the product flyer
(*https://cpslo-my.sharepoint.com/:b:/g/personal/lchen24_calpoly_edu/Ecqpn71C32ZOtU-ZytpZK9cB9BRFp2Xj3YUg-d12m3Oo7g?e=RWcs4h
<https://cpslo-my.sharepoint.com/:b:/g/personal/lchen24_calpoly_edu/Ecqpn71C32ZOtU-ZytpZK9cB9BRFp2Xj3YUg-d12m3Oo7g?e=RWcs4h>*)
for an overview of the features of the text and the Preface
(*https://cpslo-my.sharepoint.com/:b:/g/personal/lchen24_calpoly_edu/ESgAPa0W04FCkbzIemnvyjcBF1lvfp6ltpTl2kDzj5uwqA?e=OJjCjN
<https://cpslo-my.sharepoint.com/:b:/g/personal/lchen24_calpoly_edu/ESgAPa0W04FCkbzIemnvyjcBF1lvfp6ltpTl2kDzj5uwqA?e=OJjCjN>*)
for a detailed Table of Contents.
If you are interested in reviewing the text or getting access to
McGraw-Hill’s Connect digital course and instructor resources for this
text, please contact your McGraw-Hill rep or use the following links to
request a desk copy:
*https://www.mheducation.com/highered/product/Business-Analytics-Jaggia.html?viewOption=instructor&release=2025+Release
<https://www.mheducation.com/highered/product/Business-Analytics-Jaggia.html?viewOption=instructor&release=2025+Release>*.

Please also feel free to reach out to McGraw-Hill analytics product
team (*Kristen.Salinas at mheducation.com
<Kristen.Salinas at mheducation.com>*) or the author team (lchen24 at calpoly.edu)
for questions and comments. We welcome your questions and feedback about
the text.
Below is a brief TOC for the text:
Chapter 1: Introduction to Business Analytics
Chapter 2: Data Management and Wrangling
Chapter 3: Summary Measures
Chapter 4: Data Visualization
Chapter 5: Probability and Probability Distributions
Chapter 6: Statistical Inference
Chapter 7: Regression Analysis
Chapter 8: More Topics in Regression Analysis
Chapter 9: Logistic Regression
Chapter 10: Forecasting with Time Series Data
Chapter 11: Introduction to Data Mining
Chapter 12: Supervised Data Mining: k-Nearest Neighbors and Naïve Bayes
Chapter 13: Supervised Data Mining: Decision Trees
Chapter 14: Unsupervised Data Mining: Cluster Analysis, Association Rules,
and Text Analytics
Chapter 15: Spreadsheet Modeling
Chapter 16: Risk Analysis and Simulation
Chapter 17: Optimization: Linear Programming
Chapter 18: More Applications in Optimization
Appendixes
Appendix A: Big Data Sets: Variable Description and Data Dictionary
Appendix B: Getting Started with Excel and Excel Add-Ins
Appendix C: Getting Started with R
Appendix D: Getting Started with Python
Appendix E: Answers to Selected Exercises

Dr. Leida Chen
Professor and Chair of Management, HR, and IS
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