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Advanced Linear Models for Data Science 2: Statistical Linear Models(으)로 돌아가기

존스홉킨스대학교의 Advanced Linear Models for Data Science 2: Statistical Linear Models 학습자 리뷰 및 피드백

4.8
별점
47개의 평가
7개의 리뷰

강좌 소개

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....

최상위 리뷰

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.

ML

Jan 31, 2017

Good course on applied linear statistical modeling.

필터링 기준:

Advanced Linear Models for Data Science 2: Statistical Linear Models의 7개 리뷰 중 1~7

교육 기관: 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.

교육 기관: Peter

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.

교육 기관: Mark R L

Jan 31, 2017

Good course on applied linear statistical modeling.

교육 기관: Pawel P

Apr 18, 2019

Very informative and interesting.

교육 기관: Sergio G

Jul 23, 2017

Very good... Thanks

교육 기관: Wajdi A

Jun 06, 2020

thanks u all

교육 기관: RAMAKRISHNA R

Jun 30, 2020

Very good