Using Python, Machine Learning, and Deep Learning in Financial Analysis with step-by-step coding (with all codes)
InstructorS. Emadedin HashemiComidoc has tracked 16 coupons for this course since 2025, last checked 16d ago. On average, a new coupon appears roughly every 22 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| 327CC39693CE6F70DA2E | 100% off | Fully redeemed | 2d 2h | |
| 5AE3A3336849B897FEFC | 100% off | Expired | 29d 6h | |
| EED8CF83A0DC984143F0 | 100% off | Expired | ~31 daysRan full term | |
| CEBC8044173C5A0CFF69 | 100% off | Expired | ~4 daysRan full term | |
| 8FD33F43DCB750966EA8 | 100% off | Expired | ~2 daysRan full term | |
| 2225374A6C263E30DB4D | 100% off | Expired | ~4 daysRan full term |
The curriculum provides depth in volatility forecasting using GARCH models and time series analysis via ARIMA and exponential smoothing.
Includes Monte Carlo simulations for pricing European and American options and estimating Value-at-Risk.
Learners have reported difficulties accessing specific data sources like Quandl and issues with library installation instructions. Note that these signals predate the displayed update, so the update label does not prove a correction.
Some signals suggest the course relies heavily on manual code typing and may lack sufficient Python fundamentals for those without a programming background. Note that these signals predate the displayed update, so the update label does not prove a correction.
The curriculum targets financial analysts but may lack the necessary Python foundations for those without prior coding experience.