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:
Advanced Linear Models for Data Science 2: Statistical Linear Models
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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
24,159 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.6
(101 reviews)
Advanced level
Designed for those already in the industry
5 hours to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
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Assessments
4 assignments
Taught in English
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This course is part of the Advanced Statistics for Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
In this module, we cover the basics of the course as well as the prerequisites. We then cover the basics of expected values for multivariate vectors. We conclude with the moment properties of the ordinary least squares estimates.
What's included
7 videos3 readings1 assignment
In this module, we build up the multivariate and singular normal distribution by starting with iid normals.
What's included
4 videos2 readings1 assignment
In this module, we build the basic distributional results that we see in multivariable regression.
What's included
8 videos1 reading1 assignment
In this module we will revisit residuals and consider their distributional results. We also consider the so-called PRESS residuals and show how they can be calculated without re-fitting the model.
What's included
4 videos2 readings1 assignment
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4.7 (15 ratings)Offered by
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4.6
101 reviews
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RL
5
Reviewed on Jan 13, 2023
Great !!! Learning time and I enjoy the math side of it...
N
5
Reviewed on Oct 12, 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.
SJ
4
Reviewed on Aug 6, 2020
This course is very powerfull for statistical linear
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