Chevron Left
Back to Advanced Linear Models for Data Science 1: Least Squares

Learner Reviews & Feedback for Advanced Linear Models for Data Science 1: Least Squares by Johns Hopkins University

4.4
stars
168 ratings

About the Course

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. 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

JL

May 16, 2020

I really enjoyed the course. It was well explained and the quizzes at regular intervals were helpful. It would be great if there were some practice exercises though...

DL

Jun 7, 2016

We need more advanced, theoretical courses on Coursera, like this one, in order to deeply understand the more general courses like Regression Models and Linear Models.

Filter by:

1 - 25 of 42 Reviews for Advanced Linear Models for Data Science 1: Least Squares

By Andrea G

Feb 11, 2018

By jayson l

May 17, 2020

By Harold S

Jul 31, 2016

By Sean C

Oct 29, 2019

By Francisco R A

Nov 4, 2017

By Emanuel N

Mar 9, 2019

By Rumian R

Aug 7, 2020

By Huynh L D

Jun 8, 2016

By Sarvesh P

Apr 30, 2017

By Eun-San K

Jun 17, 2020

By Hernán M

Jun 12, 2016

By Soutik H

Sep 13, 2020

By Yasmine G

Jul 25, 2020

By JEFFREY F R

Sep 2, 2021

By Srikanth K S

Sep 27, 2016

By 黃華興

Mar 21, 2017

By Debarya J

Apr 23, 2017

By Ian K

Aug 12, 2020

By John C

Mar 5, 2018

By Dmitriy

Apr 25, 2017

By Roney

Jun 6, 2017

By RAMAKRISHNA R

Jun 30, 2020

By Lyu m

Sep 18, 2016

By Chad W L

Apr 17, 2018

By Herson N M

Dec 17, 2016