Business analytics : descriptive‧predictive‧prescriptive
''Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading Business analytics 5E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R or the Python-based Orange data mining software to solve more advanced analytics concepts. As instructor, you choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time while providing students with critical practice. Updates throughout this edition cover topics beyond the traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable online learning platforms offer an interactive eBook, auto-graded exercises, algorithmic practice problems and Exploring Analytics visualizations to strengthen students' understanding.''--
Bibliographic Information
| Format: | Book |
|---|---|
| Author: | Camm, Jeffrey D., 1958-, |
| Subject: |
Industrial management Decision making |
| Publication Year: | 2024 |
| Language: | English |
| Published: | Boston, MA : Cengage Learning, Inc., [2024] |
| ISBN: | 9780357902202 0357902203 |
| Notes: | Includes index. Introduction to business analytics -- Descriptive statistics -- Data visualization -- Data wrangling: data management and data cleaning strategies -- Probability: an introduction to modeling uncertainty -- Descriptive data mining -- Statistical inference -- Linear regression -- Time series analysis and forecasting -- Predictive data mining: regression -- Predictive data mining: classification tasks -- Spreadsheet models -- Monte Carlo simulation -- Linear optimization models -- Integer linear optimization models -- Nonlinear optimization models -- Decision analysis -- Multi-chapter case problems. Capital State University Game-Day magazines; Hanover, Inc. -- Appendix A. Basics of excel -- Appendix B. Database basics with Microsoft access -- Appendix C. Solutions to Even-Numbered Problems -- Appendix D. Microsoft Excel Online and Tools for Statistical Analysis |
| Course: |
BUS307 |
Availability at HKSYU Library
| Location | Call number | Status |
|---|---|---|
| English Book (4/F) | 658.403 BUS 2024 | Available |