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Advanced Linear Models for Data Science 2: Statistical Linear Models に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による Advanced Linear Models for Data Science 2: Statistical Linear Models の受講者のレビューおよびフィードバック

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34件の評価
4件のレビュー

コースについて

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....

人気のレビュー

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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Advanced Linear Models for Data Science 2: Statistical Linear Models: 1 - 4 / 4 レビュー

by Sergio G

Jul 23, 2017

Very good... Thanks

by 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.

by Mark R L

Jan 31, 2017

Good course on applied linear statistical modeling.

by Pawel P

Apr 18, 2019

Very informative and interesting.