FeaturedUdemy
UdemyR, ggplot, and Simple Linear Regression
4.6(3,914)44k studentsBEGINNEREnglish
Korshub's take
A Gentle, No-Prerequisite Start to R and Regression
This course is built for people who are curious about data science but haven't touched a statistics or programming tool before. It starts at the very beginning — installing R and RStudio — and introduces R syntax and the ggplot2 graphics package only as they're needed to build toward a working understanding of simple linear regression.
Rather than front-loading theory, the course develops R and ggplot skills in context, so each new concept has an immediate, visual application. The course is scoped to be finished within about two weeks at an easy pace.
Who it's for
Complete beginners to R, ggplot, or regression — no math, stats, or programming background is assumed.
Key takeaway
Simple linear regression is a foundational machine learning technique, and this course frames it as an accessible entry point into R rather than an intimidating statistics topic.
About this course
Data science skills are in much demand today, but it is not just the mathematicians, statisticians, and the computer scientists who can benefit from acquiring them. Data science skills are for everyone!
In this course, I help you to begin using R, one of the most important tools in data science, and the excellent graphics package for R, ggplot2. Along the way, I also show you the basics of simple linear regression.
There are no prerequisites. We begin with installation of R and RStudio, and I introduce R and ggplot skills as they are needed as we progress toward an understanding of linear regression.
Students should be able to complete the course within two weeks, working at an easy pace.
Linear regression is a machine learning technique. I hope to create more courses like this one in the future, teaching machine learning, R, ggplot, dplyr, and programming, all at the same time.
Advertisement
