Artificial Intelligence & Data Science
Star icon
Most Popular
Hands on Training icon
Hands On Training
Star icon
Hands on Training icon

Advanced Linear Models for Data Science 1: Least Squares

Course Cover

5

(8)

compare button icon

Course Features

icon

Duration

8 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Advanced

icon

Teaching Type

Self Paced

icon

Video Content

8 hours

Course Description

Welcome to Advanced Linear Models of Data Science Class 1: Less Squares. This class introduces least squares from both a mathematical and linear algebraic perspective. These are the things you should know before you start the class:

- Basic understanding of multivariate calculus and linear algebra. A basic understanding of statistics, regression models and other statistical concepts. - A basic understanding of proof-based mathematics. Basic knowledge of R programming language. Students will gain a solid foundation in linear algebraic regression modeling after taking this course. This course will enhance the knowledge of applied data scientists about regression models.

Course Overview

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

One and two parameter regression

Linear regression

Least squares

Course Instructors

Brian Caffo, PhD

Professor, Biostatistics

Brian Caffo, PhD is a professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He graduated from the Department of Statistics at the Universi...

Course Reviews

Average Rating Based on 8 reviews

4.8

75%

25%

Course Cover