Advanced Linear Models for Data Science 1: Least Squares
By Coursera
on Coursera
· Data Science
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.
Instructor
Brian Caffo
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.