
Financial Engineering and Artificial Intelligence in Python
Financial Analysis, Time Series Analysis, Portfolio Optimization, CAPM, Algorithmic Trading, Q-Learning, and MORE!
⏱ 45 hour(s) 17 minute(s)
What you’ll learn
- Forecasting stock prices and stock returns
- Time series analysis
- Holt-Winters exponential smoothing model
- ARIMA
- Efficient Market Hypothesis
- Random Walk Hypothesis
- Exploratory data analysis
- Alpha and Beta
- Distributions and correlations of stock returns
- Modern portfolio theory
- Mean-Variance Optimization
- Efficient frontier, Sharpe ratio, Tangency portfolio
- CAPM (Capital Asset Pricing Model)
- Q-Learning for Algorithmic Trading
We have added plenty of supplemental resources to our lectures (Excel sheets, course notes) in an effort to enhance your learning experience throughout the course. You can click on link below to go to Download Page for Resources :
Note : Download Link Only Available for Enrolled Students
Course Content
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Welcome
5 Lessons
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Financial Basics
31 Lessons
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*Unlock all 8 modules and start learning with just a minimal registration fee! Pay tuition and career services fees only after you secure a job with a minimum salary of 6 LPA or min 50% hike.
Course Includes
- 9 Sections
- 124 Lessons
- Course Certificate
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