Learning Paths

Follow a structured path to master the core concepts of quantitative finance.

Linear Algebra for Quants

Master vectors, matrices, and eigenvalues for financial modeling.

Advanced Statistics

Deep dive into probability, distributions, and hypothesis testing.

Probability for Quants

Master random variables, distributions, and stochastic processes for modeling and analysis.

Machine Learning for Quants

A comprehensive journey from linear models to deep learning for finance.

Stochastic Calculus

Derive the Black-Scholes equation from scratch and master the models that power modern finance.

Time Series Analysis

ARIMA, GARCH, and forecasting market movements.

Interactive tools for hands-on probability and statistics analysis.