MBAD 6201: Business Intelligence and Analytics
University of North Carolina, Charlotte
An overview of the business approach to identifying, modeling, retrieving, sharing, and evaluating an enterprise's data and knowledge assets. Focuses on the understanding of data and knowledge management, data warehousing, data mining (including rule-based systems, decision trees, neural networks, etc.), and other business intelligence concepts. Covers the organizational, technological and management perspectives. Section information text: 100% online course delivered using Canvas. Learn to use Canvas at http:/canvas.charlotte.edu. This course is reserved for Online MBA, Distance Education Campus students. Registration questions? Email: [email protected]. An overview of the business approach to identifying, modeling, retrieving, sharing, and evaluating an enterprise's data and knowledge assets. Focuses on the understanding of data and knowledge management, data warehousing, data mining (including rule-based systems, decision trees, neural networks, etc.), and other business intelligence concepts. Covers the organizational, technological and management perspectives.
Average GPA: 3.52
Grade distribution records: 808 students across 32 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 418 | 51.7% |
| B | 227 | 28.1% |
| C | 56 | 6.9% |
| W | 76 | 9.4% |
Based on 808 student grade records across 32 terms and 9 professors.
Instructors
- Monica Johar 468 students, Average GPA 3.43
- Sungjune Park 165 students, Average GPA 3.66
- Lina Zhou 62 students, Average GPA 3.56
- Kexin Zhao 31 students, Average GPA 3.40
- Chandrasekar Subramaniam 29 students, Average GPA 3.70
- Vinay Vasudev 22 students, Average GPA 3.75
- Jens Kaufmann 16 students, Average GPA 3.87
- Kornelia Bastin 8 students, Average GPA 3.28
- Bradley Williams 7 students, Average GPA 4.00