An exploration of data-driven and algorithmic approaches to trading and investment management, covering econometrics, machine learning, statistical arbitrage, and high-frequency trading.
What you'll learn
- • Core concepts and foundational principles
- • Practical applications and problem solving
- • Advanced theoretical frameworks
Requirements
- • Basic understanding of prior level concepts
- • Commitment to consistent practice