Generalized Linear Models in R

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

While linear regression can be a powerful tool for statistics it is not able to handle complex data. The generalized linear modeling (GLM) expands on linear regression and allows for non-normal distributions like count and binomial data. This course will allow you to expand your data science tools to include GLMs in R. These results will also be explained and plotted using ggplot2.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate Regression in R

What You Will Learn

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression

You will also learn how to understand these results and plot them with ggplot2

You will learn how to fit model binomial data with logistic regression and count data with Poisson regression

Course Content

Expand all sections

Module 1: GLMs, an extension of your regression toolbox

Module 2: Logistic Regression

Module 3: Interpreting and visualizing GLMs

Module 4: Multiple regression with GLMs

Course Instructors

Richard Erickson

Data Scientist

Richard helps people to experience and understand their increasingly numerical world. For his day job he develops new quantitative methods for monitoring and controlling invasive species as well as h...