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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.


Duration - 4 weeks


Price - INR 3705


JobsForHer Price - FREE


By Johns Hopkins University


Apply to this course now and stand a chance to win it for FREE!


Hurry, last date is July 25th!