學生對 约翰霍普金斯大学 提供的 Advanced Linear Models for Data Science 2: Statistical Linear Models 的評價和反饋
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....
1 - Advanced Linear Models for Data Science 2: Statistical Linear Models 的 3 個評論（共 3 個）
創建者 Sergio G
Jul 23, 2017
Very good... Thanks
創建者 Mark R L
Jan 31, 2017
Good course on applied linear statistical modeling.