Business Analytics ISE (häftad)
Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
800
Utgivningsdatum
2022-03-08
Upplaga
2
Förlag
McGraw Hill
Medarbetare
Kelly, Alison / Lertwachara, Kevin / Chen, Leida
Illustratör/Fotograf
unspecified 167 Illustrations
Illustrationer
167 Illustrations, unspecified
Antal komponenter
1
ISBN
9781265087685
Business Analytics ISE (häftad)

Business Analytics ISE

Häftad,  Engelska, 2022-03-08
848

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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.
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Fler böcker av Sanjiv Jaggia

Övrig information

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 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 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. Lertwacharas 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 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.

Innehållsförteckning

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: Introduction to Data Mining

CHAPTER 9: More Topics in Regression Analysis

CHAPTER 10: Logistic Regression Models

CHAPTER 11: Supervised Data Mining: kNN and Naive Bayes

CHAPTER 12: Supervised Data Mining: Decision Trees

CHAPTER 13: Unsupervised Data Mining

CHAPTER 14: Forecasting with Time Series Data

CHAPTER 15: Spreadsheet Modelling

CHAPTER 16: Risk and Simulation

CHAPTER 17: Optimization: Linear Programming

CHAPTER 18: Optimization: Integer and Nonlinear Programming

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