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

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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

SM

Apr 03, 2020

This is a great course from Johns Hopkins University . By taking this course, I improved my Data Management, Statistical Programming, and Statistics skills.

DD

Oct 13, 2019

It is a very good course for any statistics to learn and have a sweet tastes of math and its behind functionality on data.

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1 - 6 de 6 revisiones para Advanced Linear Models for Data Science 2: Statistical Linear Models

por Sehresh M

Apr 03, 2020

This is a great course from Johns Hopkins University . By taking this course, I improved my Data Management, Statistical Programming, and Statistics skills.

por Dat

Oct 13, 2019

It is a very good course for any statistics to learn and have a sweet tastes of math and its behind functionality on data.

por Mark R L

Jan 31, 2017

Good course on applied linear statistical modeling.

por Pawel P

Apr 18, 2019

Very informative and interesting.

por Sergio G

Jul 23, 2017

Very good... Thanks

por Wajdi A

Jun 06, 2020

thanks u all