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Advanced Linear Models for Data Science 2

Advanced Statistics for Data Science,

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.
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Rating 5.0★ based on 5 ratings
Length 5 weeks
Effort 6 weeks of study, 1-2 hours/week
Starts Jul 10 (42 weeks ago)
Cost $29
From Johns Hopkins University via Coursera
Instructor Brian Caffo, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Math And Logic Probability And Statistics

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Rating 5.0★ based on 5 ratings
Length 5 weeks
Effort 6 weeks of study, 1-2 hours/week
Starts Jul 10 (42 weeks ago)
Cost $29
From Johns Hopkins University via Coursera
Instructor Brian Caffo, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Math And Logic Probability And Statistics

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