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學生對 约翰霍普金斯大学 提供的 Advanced Linear Models for Data Science 2: Statistical Linear Models 的評價和反饋

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34 個評分
4 個審閱

課程概述

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....

熱門審閱

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.

ML

Jan 31, 2017

Good course on applied linear statistical modeling.

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1 - Advanced Linear Models for Data Science 2: Statistical Linear Models 的 4 個評論(共 4 個)

創建者 Sergio G

Jul 23, 2017

Very good... Thanks

創建者 Mark R L

Jan 31, 2017

Good course on applied linear statistical modeling.

創建者 Pawel P

Apr 18, 2019

Very informative and interesting.

創建者 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.