STAT-3654: Introductory Data Analytics and Visualization
Description: Basic principles and techniques in data analytics; methods for the collection of, storing, accessing, and manipulating standard-size and large datasets; data visualization; and identifying sources of bias.
Pathways: N/A
Course Hours: 3 credits
Sections Taught: 15
Average GPA: 3.33 (rounds to B+)
Strict A Rate (No A-) : 37.17%
Average Withdrawal Rate: 1.40%
| Srijan Sengupta | 2020 | 65.0% | 30.9% | 0.0% | 0.0% | 4.2% | 0.0% | 3.51 | 2 |
| Sehrish Basir Nizamani | 2024 | 33.3% | 33.3% | 16.7% | 0.0% | 16.7% | 0.0% | 2.77 | 1 |
| Christian Lucero | 2019 | 53.4% | 26.6% | 13.3% | 0.0% | 0.0% | 6.7% | 3.36 | 1 |
| Xin Xing | 2023 | 55.7% | 32.9% | 4.5% | 4.0% | 0.0% | 2.9% | 3.38 | 5 |
| Juncai Jiang | 2019 | 42.9% | 42.9% | 0.0% | 0.0% | 14.3% | 0.0% | 3.09 | 1 |
| Yalong Yang | 2022 | 37.5% | 37.5% | 12.5% | 0.0% | 12.5% | 0.0% | 2.84 | 1 |
| Jesse M Harden | 2023 | 66.6% | 22.2% | 0.0% | 11.1% | 0.0% | 0.0% | 3.38 | 1 |
| Wei Liu | 2024 | 44.4% | 55.5% | 0.0% | 0.0% | 0.0% | 0.0% | 3.38 | 1 |
| Meimei Liu | 2024 | 80.0% | 20.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.74 | 1 |
| Christopher L North | 2021 | 83.3% | 0.0% | 16.7% | 0.0% | 0.0% | 0.0% | 3.52 | 1 |