Skills you'll gain

There are 6 modules in this course

- 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.

One and two parameter regression

Linear regression

General least squares

Least squares examples

Bases and residuals

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