Advanced Linear Models for Data Science 2: Statistical Linear Models
About this Course
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.Created by: Johns Hopkins University
Related Online Courses
We are all members of a variety of groups. In a typical week, you may collaborate in a team of coworkers, eat lunch with your friends, gather with family and friends for a celebration, watch your... more
This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project... more
Welcome to the Frontend Development using React course! In this program, you will learn the fundamentals of frontend development and how to build web applications using the React library. The... more
This course equips learners with the skills to analyze dynamic relationships within systems, create causal loop diagrams, and simulate the behavior of interconnected variables. Participants gain... more
This course covers communication skills that engineering leaders use every day to motivate, inspire, and support the people in their organizations. Speaking and writing are basic leadership... more
Powered by
