Advanced Linear Models for Data Science 1: Least Squares

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Advanced Linear Models for Data Science 1: Least Squares

Coursera · Advanced ·🔢 Mathematical Foundations ·3mo ago

Key Takeaways

Builds a linear regression model using least squares for data science

Original Description

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. 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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