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Advanced Linear Models for Data Science 2: Statistical Linear Models, Université Johns-Hopkins
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À propos de ce 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
par ML
•Jan 31, 2017
Good course on applied linear statistical modeling.
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3 avis
par Pawel Piela
•Apr 18, 2019
Very informative and interesting.
par Sergio Garofoli
•Jul 23, 2017
Very good... Thanks
par Mark R. Lytell
•Jan 31, 2017
Good course on applied linear statistical modeling.
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