Generalized Linear Models in R Data Camp

Overview

Context

Linear regression serves as a workhorse of statistics, but cannot handle some types of complex data. A generalized linear model (GLM) expands upon linear regression to include non-normal distributions including binomial and count data. 

Throughout this Generalized Linear Models in R course offered by Data Camp, you will expand your data science toolkit to include GLMs in R. You will also learn how to understand these results and plot them with ggplot2.

What you will do during this course:

• The first chapter teaches you how generalized linear models are an extension of other models in your data science toolbox. The chapter also uses Poisson regression to introduce generalize linear models.
• The second chapter covers running a logistic regression and examining the model outputs.
• The third chapter teaches you about interpreting GLM coefficients and plotting GLMs using ggplot2.
• In the last chapter, you will learn how to do multiple regression with GLMs in R.