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Advanced Linear Models for Data Science 2: Statistical Linear Models

Description

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following:

– A basic understanding of linear algebra and multivariate calculus.
– A basic understanding of statistics and regression models.
– At least a little familiarity with proof based mathematics.
– Basic knowledge of the R programming language.

After taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling. This will greatly augment applied data scientists’ general understanding of regression models.

Price: Enroll For Free!

Language: English

Subtitles: English

Advanced Linear Models for Data Science 2: Statistical Linear Models – Johns Hopkins University