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学生对 约翰霍普金斯大学 提供的 Advanced Linear Models for Data Science 2: Statistical Linear Models 的评价和反馈

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33 个评分
4 个审阅

课程概述

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....

热门审阅

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 个评论(共 4 个)

创建者 Mark R L

Jan 31, 2017

Good course on applied linear statistical modeling.

创建者 Sergio G

Jul 23, 2017

Very good... Thanks

创建者 Pawel P

Apr 18, 2019

Very informative and interesting.

创建者 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.