| Term | Evaluations | Course rating | Instructor rating |
|---|---|---|---|
| Spring 2025 | 2 | 4.5 | 4.6 |
| Summer 2024 | 1 | 4.7 | 4.8 |
| Spring 2024 | 2 | 4.2 | 4.4 |
| Fall 2023 | 1 | 4.2 | 4.4 |
| Summer 2023 | 1 | 4.5 | 4.7 |
| Spring 2023 | 2 | 4.3 | 4.4 |
| Fall 2022 | 1 | 4.4 | 4.5 |
| Summer 2022 | 1 | 3.9 | 4.1 |
| Spring 2022 | 2 | 4.1 |
9 evaluations for this course
Data Analytics in Finance focuses on critical skills in programming and computation/analysis of financial data, and more importantly, pragmatic applications in portfolio management and risk management. Theoretical concepts and background for these techniques will be introduced, and the focus is on their applications and hands-on implementation utilizing software packages and programming platforms that are widely used in the financial industry (Python). The course will extensively focus on real-world applications of finance theory.STEM-designated
Estimated from the original workload response buckets. Individual sections may differ.
| 4.1 |
| Fall 2021 | 1 | 4.5 | 4.6 |
| Summer 2021 | 1 | 4.0 | 4.3 |
| Spring 2021 | 1 | 4.7 | 4.8 |
| Summer 2020 | 1 | 3.9 | 4.1 |
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