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Learner Reviews & Feedback for Advanced Linear Models for Data Science 2: Statistical Linear Models by Johns Hopkins University

4.8
stars
37 ratings
5 reviews

About the Course

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....

Top reviews

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 - 5 of 5 Reviews for Advanced Linear Models for Data Science 2: Statistical Linear Models

By 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.

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.

By Sergio G

Jul 23, 2017

Very good... Thanks