Вернуться к Advanced Linear Models for Data Science 2: Statistical Linear Models
Отзывы учащихся о курсе Advanced Linear Models for Data Science 2: Statistical Linear Models от партнера Университет Джонса Хопкинса
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Оценки: 34
О курсе
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.
Лучшие рецензии
DD
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.
ML
Jan 31, 2017
Good course on applied linear statistical modeling.
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1–4 из 4 отзывов о курсе Advanced Linear Models for Data Science 2: Statistical Linear Models
автор: 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.
автор: Mark R L
•Jan 31, 2017
Good course on applied linear statistical modeling.
автор: Pawel P
•Apr 18, 2019
Very informative and interesting.
автор: Sergio G
•Jul 23, 2017
Very good... Thanks
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