ITCS 6100: Big Data Anlytcs for Comp Avdt
University of North Carolina, Charlotte
An introduction to the use of big data as a strategic resource. A focus is placed on integrating the knowledge of analytics tools with an understanding of how companies leverage data analytics to gain strategic advantage. A case approach is used to emphasize hands-on learning and a real-world view of big data analytics.
Average GPA: 3.88
Grade distribution records: 1,797 students across 23 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 1,577 | 87.8% |
| B | 190 | 10.6% |
| C | 11 | 0.6% |
| W | 13 | 0.7% |
Based on 1,797 student grade records across 23 terms and 10 professors.
Instructors
- Pamela Thompson 786 students, Average GPA 4.00
- Gabriel Terejanu 343 students, Average GPA 3.97
- Wlodek Zadrozny 234 students, Average GPA 3.65
- Li-Shiang Tsay 214 students, Average GPA 3.86
- Seethalakshmi Gopalakrishnan 60 students, Average GPA 3.46
- Chandrasekar Subramaniam 59 students, Average GPA 3.66
- Yong Ge 45 students, Average GPA 3.47
- Jared Hansen 39 students, Average GPA 3.64
- Joon Jung 14 students, Average GPA 3.93
- Anupama Brookins 3 students, Average GPA 4.00