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: 13
Average GPA: 3.23 (rounds to B+)
Strict A Rate (No A-) : 31.56%
Average Withdrawal Rate: 1.94%
| Cara A Spicer | 2024 | 40.5% | 37.4% | 15.6% | 1.7% | 2.3% | 2.5% | 3.15 | 10 |
| Jenny L Lo | 2022 | 84.6% | 7.7% | 7.7% | 0.0% | 0.0% | 0.0% | 3.72 | 1 |
| Annette C Feng | 2022 | 45.9% | 39.6% | 14.6% | 0.0% | 0.0% | 0.0% | 3.35 | 2 |