返回到 Advanced Linear Models for Data Science 2: Statistical Linear Models
学生对 约翰霍普金斯大学 提供的 Advanced Linear Models for Data Science 2: Statistical Linear Models 的评价和反馈
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课程概述
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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1 - Advanced Linear Models for Data Science 2: Statistical Linear Models 的 4 个评论（共 4 个）
创建者 Mark R L
•Jan 31, 2017
Good course on applied linear statistical modeling.
创建者 Sergio G
•Jul 23, 2017
Very good... Thanks
创建者 Pawel P
•Apr 18, 2019
Very informative and interesting.
创建者 Dat
•Oct 13, 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.