INFO 3221: Programming for Business Analytics
University of North Carolina, Charlotte
A study of�fundamental programming constructs and concepts required for solving data analytics problems.� Emphasizes the use of widely adopted industry platforms�such as Python and R�to extract, transform, and make use of business data.
Average GPA: 3.07
Grade distribution records: 917 students across 20 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 386 | 42.1% |
| B | 227 | 24.8% |
| C | 154 | 16.8% |
| D | 23 | 2.5% |
| F | 42 | 4.6% |
| W | 34 | 3.7% |
Based on 917 student grade records across 20 terms and 5 professors.
Instructors
- Sungjune Park 407 students, Average GPA 2.63
- Shelby Setzer 245 students, Average GPA 3.68
- Chandrasekar Subramaniam 186 students, Average GPA 2.95
- Jaewan Lim 67 students, Average GPA 3.45
- Reza Mousavi 12 students, Average GPA 3.58