Reference no: EM133059108
1. How does prescriptive analytics relate to descriptive analytics?
2. Excel is probably the most popular spreadsheet software for PCs. Why?
3. What can we do with this package that makes it so attractive for modeling efforts?
4. Define data mining as an enabling technology for business analytics and understand the objectives and benefits of data mining.
5. Become familiar with the wide range of applications of data mining
6. Learn the standardized data mining processes
7. Learn different methods and algorithms of data mining
8. Build awareness of the existing data mining software tools
9. Understand the privacy issues, pitfalls, and myths of data mining
10. Describe text analytics and understand the need for text mining
11. Differentiate among text analytics, text mining, and data mining and the application areas for text mining
12. Know the process of carrying out a text mining project
13. Describe sentiment analysis
14. Develop familiarity with popular applications of sentiment analysis
15. Learn the common methods for sentiment analysis
16. Become familiar with speech analytics as it relates to sentiment analysis
17. Understand the applications of prescriptive analytics techniques
18. Understand the basic concepts of analytical decision modeling and understand the concepts of analytical models for selected decision problems
19. Describe how spreadsheets can be used for analytical modeling and solutions
20. Explain the basic concepts of optimization and when to use them
21. Explain what is meant by sensitivity analysis, what-if analysis, and goal seeking
22. Understand the concepts and applications of different types of simulation and understand potential applications of discrete event simulation.