This advanced, project-based course bridges the gap between trading and technology, teaching you how to use Python and machine learning to analyze real stock market data. You’ll learn how to clean and visualize financial datasets, engineer predictive features, and train models that uncover profitable trading opportunities. With practical, hands-on coding exercises, you’ll transform theory into actionable trading algorithms ready for backtesting and real-world application.

Key features include:

• Step-by-step implementation of trading algorithms using Python, pandas, scikit-learn, and TensorFlow

• Real financial data projects to practice feature engineering, model tuning, and performance evaluation

By the end of this course, you’ll be able to build, test, and deploy your own AI-powered trading strategies—combining market insight with machine learning precision.