Volver a Advanced Linear Models for Data Science 2: Statistical Linear Models
Opiniones y comentarios de aprendices correspondientes a Advanced Linear Models for Data Science 2: Statistical Linear Models por parte de Universidad Johns Hopkins
4.7
29 calificaciones
Acerca del Curso
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.
Principales revisiones
Filtrar por:
1 - 3 de 3 revisiones para Advanced Linear Models for Data Science 2: Statistical Linear Models
By Pawel P
•Apr 18, 2019
Very informative and interesting.
By Sergio G
•Jul 23, 2017
Very good... Thanks
By Mark R L
•Jan 31, 2017
Good course on applied linear statistical modeling.
Coursera brinda acceso universal a la mejor educación del mundo, al asociarse con las mejores universidades y organizaciones, para ofrecer cursos en línea.
© 2019 Coursera Inc. Todos los derechos reservados.
