Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio.
Overview
Syllabus
- Quantitative Trading
- Learn the basics of quantitative analysis, including data processing, trading signal generation, and portfolio management. Use Python to work with historical stock data, develop trading strategies, and construct a multi-factor model with optimization.
- AI Algorithms in Trading
- Learn how to analyze alternative data and use machine learning to generate trading signals. Run a backtest to evaluate and combine top performing signals.
- Python Refresher
- Linear Algebra
- Jupyter Notebook, Numpy, and Pandas
- Statistics
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing
- Career Services
Taught by
Cindy Lin, Arpan Chakraborty, Elizabeth Otto Hamel, Eddy Shyu, Brok Bucholtz, Parnian Barekatain, Juan Delgado, Luis Serrano, Cezanne Camacho, Mat Leonard, Eduardo P., Hsin-Wen C., Frank Salvador Y., Sridhar S., Jonnie W. and André V.
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Reviews
4.0 rating, based on 1 Class Central review
4.8 rating at Udacity based on 497 ratings
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"Well till now it is very interesting , although the complexity of the mathmatical modeling the approach of simplifying basic concepts and focus on practical outcomes by project is very useful. I can't wait to complete the complete program asap. "
