Business Analytics https://www.mheducation.com/cover-images/Jpeg_400-high/1260785009.jpeg 1 2021 9781260785005 Business Analytics: Communicating with Numbers was written from the ground up to prepare students to understand, manage, and visualize the data, apply the appropriate tools, and communicate the findings and their relevance. Unlike other texts that simply repackage statistics and traditional operations research topics, this text seamlessly threads the topics of data wrangling, descriptive analytics, predictive analytics, and prescriptive analytics into a cohesive whole. It provides a holistic analytics process, including dealing with real life data that are not necessarily 'clean' and/or 'small' and stresses the importance of effectively communicating findings by including features such as a synopsis (a short writing sample) and a sample report (a longer writing sample) in every chapter. These features help students develop skills in articulating the business value of analytics by communicating insights gained from a non-technical standpoint.
09781260785005
Business Analytics

Business Analytics, 1st Edition

ISBN10: 1260785009 | ISBN13: 9781260785005
By Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen

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Business Analytics: Communicating with Numbers was written from the ground up to prepare students to understand, manage, and visualize the data, apply the appropriate tools, and communicate the findings and their relevance. Unlike other texts that simply repackage statistics and traditional operations research topics, this text seamlessly threads the topics of data wrangling, descriptive analytics, predictive analytics, and prescriptive analytics into a cohesive whole. It provides a holistic analytics process, including dealing with real life data that are not necessarily 'clean' and/or 'small' and stresses the importance of effectively communicating findings by including features such as a synopsis (a short writing sample) and a sample report (a longer writing sample) in every chapter. These features help students develop skills in articulating the business value of analytics by communicating insights gained from a non-technical standpoint.

Ch. 1 Introduction to Business Analytics
Ch. 2 Data Management and Wrangling
Ch. 3 Data Visualization and Summary Measures
Ch. 4 Probability and Probability Distributions
Ch. 5 Statistical Inference
Ch. 6 Regression Analysis
Ch. 7 Advanced Regression Analysis
Ch. 8 Introduction to Data Mining
Ch. 9 Supervised Data Mining: k-Nearest Neighbors and Naïve Bayes
Ch. 10 Supervised Data Mining: Decision Trees
Ch. 11 Unsupervised Data Mining
Ch. 12 Forecasting with Time Series Data
Ch. 13 Introduction to Prescriptive Analytics
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 Statistical Tables
Appendix E Answers to Selected Exercises
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About the Author

Sanjiv Jaggia

Sanjiv Jaggia is a professor of economics and finance at California Polytechnic State University in San Luis Obispo. Dr. Jaggia holds a Ph.D. from Indiana University and is a Chartered Financial Analyst (CFA®). He enjoys research in statistics and econometrics applied to a wide range of business disciplines. Dr. Jaggia has published several papers in leading academic journals and has co-authored two successful textbooks in business statistics. His ability to communicate in the classroom has been acknowledged by several teaching awards. Dr. Jaggia resides in San Luis Obispo with his wife and daughter. In his spare time, he enjoys cooking, hiking, and listening to a wide range of music.

Alison Kelly

Alison Kelly is a professor of economics at Suffolk University in Boston. Dr. Kelly holds a Ph.D. from Boston College and is a Chartered Financial Analyst (CFA®). Dr. Kelly has published in a wide variety of academic journals and has co-authored two successful textbooks in business statistics. Her courses in applied statistics and econometrics are well received by students as well as working professionals. Dr. Kelly resides in Hamilton, Massachusetts, with her husband, daughter, and son. In her spare time, she enjoys exercising and gardening.

Kevin Lertwachara

Kevin Lertwachara is a professor of information systems at California Polytechnic State University in San Luis Obispo. Dr. Lertwachara holds a Ph.D. in Operations and Information Management from the University of Connecticut. Dr. Lertwachara’s research focuses on technology-based innovation, electronic commerce, health care informatics, and business analytics and his work has been published in scholarly books and leading academic journals. He teaches business analytics at both the undergraduate and graduate levels and has received several teaching awards. Dr. Lertwachara resides in the central coast of California with his wife and three sons. In his spare time, he coaches his sons’ soccer and futsal teams.

Leida Chen

Leida Chen is a professor of information systems at California Polytechnic State University in San Luis Obispo. Dr. Chen earned a Ph.D. in Management Information Systems from University of Memphis. His research and consulting interests are in the areas of business analytics, technology diffusion, and global information systems. Dr. Chen has published over 50 research articles in leading information systems journals, over 30 articles and book chapters in national and international conference proceedings and edited books, and a book on mobile application development. He teaches business analytics at both the undergraduate and graduate levels. In his spare time, Dr. Chen enjoys hiking, painting, and traveling with his wife and son to interesting places around the world.

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