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Overview
MindTap for "Business Analytics" is designed to develop students' decision-making skills. Students develop and hone essential career skills and experience with:
Excel Activities -- algorithmic problems based on end-of-chapter problems from the book that provide students with an authentic experience solving problems using spreadsheets. These problems are integrated directly in MindTap and provide students with real-time feedback on their answers with contextual support directly from Office Online, system generated Excel solution files and video walk-throughs of a similar problem prepared by the text authors.
Exploring Analytics Videos & Applets -- videos that explain fundamental statistical concepts and interactive, visual demonstrations that allow students to manipulate and experiment with topics from the chapter.
Bongo Videos -- AI graded videos that help students develop their presentation skills and story telling skills by providing them instant feedback on presentation skills (speaking rate, use of filler words, eye contact, etc…) and on their ability to present analytical content in an understandable way.
All online text media materials accessible through this access code are available in EMEA, Latin America, Asia, and India only.
- Excel Activities: Algorithmic problems based on end-of-chapter problems from the book provide students with an authentic experience solving problems using spreadsheets. These problems are integrated directly in MindTap and provide students with real-time feedback on their answers with contextual support directly from Office Online, system generated Excel solution files and video walk-throughs of a similar problem prepared by the text authors.
- Exploring Analytics Videos & Applets: Videos explain fundamental statistical concepts and interactive, visual demonstrations that allow students to manipulate and experiment with topics from the chapter.
- Bongo Videos: AI graded videos help students develop their presentation skills and story-telling skills by providing them instant feedback on presentation skills (speaking rate, use of filler words, eye contact, etc…) and on their ability to present analytical content in an understandable way.
2. Descriptive Statistics.
3. Data Visualization.
4. Data Wrangling.
5. Probability: An Introduction to Modeling Uncertainty.
6. Unsupervised Machine Learning.
7. Statistical Inference.
8. Linear Regression.
9. Time Series Analysis and Forecasting.
10. Supervised Machine Learning: Regression.
11. Supervised Machine Learning: Classification.
12. Spreadsheet Modeling.
13. Monte Carlo Simulation.
14. Linear Optimization Models.
15. Integer Linear Optimization Models.
16. Nonlinear Optimization Models.
17. Decision Analysis.
18. Artificial Intelligence.
Appendix A: Basics of Excel.
Appendix B: Database Basics with Microsoft Access.
Appendix C: Solutions to Even-Numbered Questions (Cengage eBook).
Appendix D: Microsoft Excel Online and Tools for Statistical Analysis (Cengage eBook).