DSBA 6201: Business Intelligence and Analytics
University of North Carolina, Charlotte
An overview of the business approach to identifying, modeling, managing, and evaluating an enterprise's data and knowledge assets.� Focuses on the understanding of statistical modeling and analysis, data warehousing, data mining (including decision trees, clustering, association rule mining, etc.), and other business intelligence and analytics concepts.�
Average GPA: 3.55
Grade distribution records: 1,249 students across 32 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 723 | 57.9% |
| B | 335 | 26.8% |
| C | 88 | 7.0% |
| W | 58 | 4.6% |
Based on 1,249 student grade records across 32 terms and 8 professors.
Instructors
- Monica Johar 530 students, Average GPA 3.45
- Sungjune Park 281 students, Average GPA 3.70
- Lina Zhou 165 students, Average GPA 3.50
- Chandrasekar Subramaniam 131 students, Average GPA 3.56
- Kornelia Bastin 68 students, Average GPA 3.48
- Bradley Williams 36 students, Average GPA 4.00
- Kexin Zhao 21 students, Average GPA 3.75
- Jens Kaufmann 17 students, Average GPA 3.85