DTSC 3601: Predictive Analytics and Their Implications A
University of North Carolina, Charlotte
In this studio, students learn the ethical use of machine learning to develop models and predictive features from unstructured data to explore a data science approach to socially relevant challenges. Validity of predictions are be analyzed using appropriate statistical hypothesis tests.� The ethical implications of collecting and using data from external sources are also discussed.
Average GPA: 3.62
Grade distribution records: 198 students across 4 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 142 | 71.7% |
| B | 42 | 21.2% |
| C | 9 | 4.5% |
| D | 1 | 0.5% |
| F | 3 | 1.5% |
Based on 198 student grade records across 4 terms and 1 professor.
Instructors
- Nadia Najjar 198 students, Average GPA 3.62