Chevron Left
Back to Advanced Linear Models for Data Science 2: Statistical Linear Models

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

4.5
stars
83 ratings

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 2, 2020

This is a great course from Johns Hopkins University . By taking this course, I improved my Data Management, Statistical Programming, and Statistics skills.

PP

Oct 12, 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.

Filter by:

1 - 13 of 13 Reviews for Advanced Linear Models for Data Science 2: Statistical Linear Models

By Sehresh M

Apr 3, 2020

By Mark L

Jan 31, 2017

By Christian J H

Dec 12, 2020

By Ben R

May 8, 2022

By Đạt N

Oct 12, 2019

By Pawel P

Apr 18, 2019

By Sergio G

Jul 23, 2017

By wajdi a

Jun 6, 2020

By SAYANTAN D

Jul 27, 2020

By RAMAKRISHNA R

Jun 30, 2020

By Sandeep J

Aug 7, 2020

By Ian K

Aug 22, 2020

By Mostofa K

Jul 29, 2020