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

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34 ratings

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4 reviews

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....

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.

Jan 31, 2017

Good course on applied linear statistical modeling.

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By Sergio G

•Jul 23, 2017

Very good... Thanks

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 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.

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