Management Information Systems
MISM 3515: Data Mining for Business
Lecture - 4 credits
- Covers key concepts, techniques, methods, and applications of data mining in the context of business.
- Offers students opportunities to learn how to distill key insights from a large amount of unknown data, which techniques to choose from, how to apply the techniques and methods to get the answer and insights from the data, and how to interpret the results from the analysis.
- Example predictive analysis techniques include market basket analysis and principle component analysis.
- Covers all techniques using business examples and user-friendly tools.
Covers key concepts, techniques, methods, and applications of data mining in the context of business. Show more.