INFO 3236: Business Analytics
University of North Carolina, Charlotte
Various data mining and business intelligence methods, such as rule-based systems, decision trees, and logistic regression. Query and reporting, online analytical processing (OLAP) and statistical analysis. Issues relating to modeling, storing, securing, and sharing the organizational data resources.
Average GPA: 3.23
Grade distribution records: 2,158 students across 30 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 951 | 44.1% |
| B | 636 | 29.5% |
| C | 300 | 13.9% |
| D | 41 | 1.9% |
| F | 41 | 1.9% |
| W | 136 | 6.3% |
Based on 2,158 student grade records across 30 terms and 12 professors.
Instructors
- Oscar Barzuna Hidalgo 416 students, Average GPA 3.68
- Dongsong Zhang 391 students, Average GPA 2.57
- Benyawarath Nithithanatchinnapat 332 students, Average GPA 3.50
- Bradley Williams 308 students, Average GPA 3.56
- Vinay Vasudev 188 students, Average GPA 2.86
- Chandrasekar Subramaniam 184 students, Average GPA 2.94
- Lina Zhou 114 students, Average GPA 2.46
- Austin Rutherford 66 students, Average GPA 3.35
- Kanlun Wang 57 students, Average GPA 3.63
- Jaewan Lim 39 students, Average GPA 2.97
- Reginald Silver 39 students, Average GPA 3.73
- Monica Johar 23 students, Average GPA 3.32