FIN-3114: Python/SQL for Data Analytics and Finance
Description: A foundation in Python/SQL and the tools needed to implement a data-driven approach to financial problem solving. Emphasis on accessing external databases, merging databases, manipulating and transforming data, performing operations, generating an output or another dataset, and exporting in a readable or visual form. To prepare students to analyze datasets for making financial decisions.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 20
Average GPA: 3.00 (B+)
Strict A Rate (No A-) : 27.91%
Average Withdrawal Rate: 1.03%
| Annette C Feng | 2022 | 45.9% | 39.6% | 14.6% | 0.0% | 0.0% | 0.0% | 3.35 | 2 |
| Cara A Spicer | 2024 | 36.9% | 38.6% | 17.8% | 2.1% | 2.0% | 2.6% | 3.12 | 8 |
| Jenny L Lo | 2022 | 84.6% | 7.7% | 7.7% | 0.0% | 0.0% | 0.0% | 3.72 | 1 |
| Zhaojin Xu | 2005 | 29.4% | 40.8% | 27.0% | 2.8% | 0.0% | 0.0% | 2.97 | 2 |
| Michael T Cliff | 2005 | 21.3% | 36.9% | 30.6% | 7.5% | 3.7% | 0.0% | 2.64 | 4 |
| John C Easterwood | 2005 | 19.5% | 43.8% | 30.7% | 6.0% | 0.0% | 0.0% | 2.71 | 3 |