From Data to Insight, From Model to Alpha.
Master the core pillars of quantitative finance and data science, from foundational theory to practical application.
Linear Algebra
Vectors, matrices, and tensors. The language of data.
Advanced Statistics
The science of collecting, analyzing, and interpreting data.
Statistician's Toolkit
Explore and understand the core concepts of statistics for quantitative analysis.
Probability
The mathematical foundation for understanding randomness and uncertainty.
Probability Toolkit
An interactive journey through the key distributions in probability theory.
Mental Math
Train your calculation speed and accuracy for interviews.
Time Series Analysis
ARIMA, GARCH, and forecasting market movements.
Machine Learning
Building predictive models for financial markets.