| Term | Evaluations | Course rating | Instructor rating |
|---|---|---|---|
| Spring 2025 | 1 | 4.0 | 4.3 |
| Spring 2024 | 1 | 4.1 | 4.3 |
| Spring 2023 | 1 | 3.1 | 3.1 |
| Fall 2022 | 1 | 2.7 | 3.0 |
| Spring 2022 | 2 | 3.8 | 3.7 |
Assistant Professor of the Practice, Finance, Carroll School of Management
2 evaluations for this course
This course aims to provide you with a solid theoretical foundation in time series techniques and their practical application in financial studies. You'll learn to analyze financial data, understand its time series characteristics (e.g., trends, seasonality, andstationarity), and forecast future data using econometric models such as Autoregressions (AR), Moving Average (MA), and ARIMA.You will gain advanced data analytics and coding skills in software R. STEM-designated
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