Advanced Linear Models for Data Science 1: Least Squares

Add to Favourites
1 1 1 1 1
Price: 243 EUR 243 EUR
Contact Johns Hopkins University

More details about the program

Description

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. 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.

Specific details

Category of Education Computer Sciense and IT

Comments (0)

There are no comments posted here yet

Leave your comments

Search

Related Programs

Deepen your knowledge and boost your career with a ...
As a CS major, you will be part of the acclaimed C ...
This course allows you to apply the SQL skills tau ...
This study cycle has the objectives to learn the t ...

 

©2023 EDUCOM NET. All Rights Reserved.

If you find an inaccuracy or you have comments on the description of the university or program - please let us know info@educom.net