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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SM
Apr 2, 2020
This is a great course from Johns Hopkins University . By taking this course, I improved my Data Management, Statistical Programming, and Statistics skills.
PP
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.
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1 - Advanced Linear Models for Data Science 2: Statistical Linear Models 的 13 个评论（共 13 个）
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