Advanced Linear Models for Data Science 2: Statistical Linear Models

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Johns Hopkins University

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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.

数据科学2的高级线性模型2:统计线性模型:欢迎使用数据科学2的高级线性模型2:统计线性模型。该课程从线性代数和数学的角度介绍最小二乘。在开始上课之前,请确保您具有以下条件: -基本了解线性代数和多元演算。 -基本了解统计和回归模型。 -至少对基于证明的数学有所了解。 -R编程语言的基本知识。 学习完本课程后,学生将为回归建模的线性代数处理打下坚实的基础。这将大大增强应用数据科学家对回归模型的一般理解。

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