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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Frequently Asked Questions
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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