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Udacity

AI for Trading

WorldQuant via Udacity Nanodegree

Overview

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.

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.

Reviews

4.0 rating, based on 1 Class Central review

4.8 rating at Udacity based on 497 ratings

Start your review of AI for Trading

  • Taher Elhassan
    "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. "

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