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Body of Knowledge
Data Science Foundations

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Data Science Foundations

Representations of a distribution
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
Expectation and variance
Expectation and covariance
L2 geometry
Factor models and learning
Regression LFM's
Cross-sectional LFM's
Principal component LFM's
Factor-analysis LFM's
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