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Advanced Linear Models for Data Science 2: Statistical Linear Models, Université Johns-Hopkins

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2 avis

À propos de ce cours

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....

Meilleurs avis

par ML

Jan 31, 2017

Good course on applied linear statistical modeling.

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3 avis

par Pawel Piela

Apr 18, 2019

Very informative and interesting.

par Sergio Garofoli

Jul 23, 2017

Very good... Thanks

par Mark R. Lytell

Jan 31, 2017

Good course on applied linear statistical modeling.