Advanced Linear Models for Data Science 2: Statistical Linear Models
This course is part of Advanced Statistics for Data Science Specialization
Instructor: Brian Caffo, PhD
Skills you'll gain
There are 4 modules in this course
- 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.
The multivariate normal distribution
Distributional results
Residuals
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