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Advanced Linear Models for Data Science 1: Least Squares

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and...

By Brian Caffo, PhD on Coursera

About This Course

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. 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.

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How much does Advanced Linear Models for Data Science 1: Least Squares cost?

Visit the Advanced Linear Models for Data Science 1: Least Squares course page for current pricing and available discounts.

Who teaches Advanced Linear Models for Data Science 1: Least Squares?

Advanced Linear Models for Data Science 1: Least Squares is taught by Brian Caffo, PhD, Johns Hopkins University.

What skill level is Advanced Linear Models for Data Science 1: Least Squares for?

This course is designed for beginner learners.

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Students0
Duration2 hours
LevelBeginner
Languageen
PlatformCoursera