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Generalized Linear Models in R

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Course Report - Generalized Linear Models in R

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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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

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Virtual Labs

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International Faculty

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Post Course Interactions

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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 Instructors

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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...
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