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Learner Reviews & Feedback for Advanced Linear Models for Data Science 2: Statistical Linear Models by Johns Hopkins University

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Über den Kurs

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....

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1 - 3 of 3 Reviews for Advanced Linear Models for Data Science 2: Statistical Linear Models

von Pawel P

Apr 18, 2019

Very informative and interesting.

von Sergio G

Jul 23, 2017

Very good... Thanks

von Mark R L

Jan 31, 2017

Good course on applied linear statistical modeling.