Chevron Left
Volver a Advanced Linear Models for Data Science 2: Statistical Linear Models

Opiniones y comentarios de aprendices correspondientes a Advanced Linear Models for Data Science 2: Statistical Linear Models por parte de Universidad Johns Hopkins

4.7
29 calificaciones
3 Revisiones

Acerca del Curso

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....

Principales revisiones

Filtrar por:

1 - 3 de 3 revisiones para Advanced Linear Models for Data Science 2: Statistical Linear Models

By Pawel P

Apr 18, 2019

Very informative and interesting.

By Sergio G

Jul 23, 2017

Very good... Thanks

By Mark R L

Jan 31, 2017

Good course on applied linear statistical modeling.