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Quant Marathon program

Courses

The Quant Marathon guides students through the ARPM Lab in seven all-encompassing, mutually exclusive, core learning courses, refresher courses for preparation purposes.

Refreshers for Python and MATLAB are also available on demand.

Data Science Foundations

This course prepares for the Data Science Foundations module of the ARPM Certificate Body of Knowledge.
Representations of a distribution
Marginalization
Conditioning
Normal distribution
Quadratic-normal distribution
Notable multivariate distributions
Elliptical distributions
Scenario-probability distributions
Exponential family distributions
Mixture distributions
Univariate results
Definition and properties of copulas
Special classes of copulas
Implementation
Expectation and variance
Expectation and covariance
L2 geometry
Factor models and learning
Overview
Regression LFM's
Cross-sectional LFM's
Principal component LFM's
Factor-analysis LFM's
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