Chevron Left
Retour à Advanced Linear Models for Data Science 2: Statistical Linear Models

Avis et commentaires pour d'étudiants pour Advanced Linear Models for Data Science 2: Statistical Linear Models par Université Johns-Hopkins

4.7
étoiles
56 évaluations
10 avis

À propos du cours

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....

Meilleurs avis

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.

Filtrer par :

1 - 10 sur 10 Avis pour Advanced Linear Models for Data Science 2: Statistical Linear Models

par 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.

par 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.

par Mark R L

Jan 31, 2017

Good course on applied linear statistical modeling.

par Pawel P

Apr 18, 2019

Very informative and interesting.

par Sergio G

Jul 23, 2017

Very good... Thanks

par Wajdi A

Jun 06, 2020

thanks u all

par SAYANTAN D

Jul 27, 2020

Enjoyable

par RAMAKRISHNA R

Jun 30, 2020

Very good

par Sandeep J

Aug 07, 2020

This course is very powerfull for statistical linear

par Mostofa K

Jul 29, 2020

good