A swirl is an interactive way of learning R by installing a package called {swirl} into R and then installing a course.

I have used swirls in the Data Science Courses on Coursera and found them a useful way of learning and testing your knowledge.

swirl is installed as a package into R using the following command in R (internet connection required).

> install.packages("swirl")

Then launching the swirl library and run it.

> library("swirl")
> swirl()

To locate a swirl course use the following command.

?InstallCourses

Sources: Swirlstats

There are a list of courses available in the swirl repository on GitHub. There are 3 levels of courses available.

**Beginner**

- R Programming:
*The basics of programming in R*
- R Programming Alt:
*Same as the original, but modified slightly for in-class use*
- Data Analysis:
*Basic ideas in statistics and data visualization*
- Mathematical Biostatistics Boot Camp:
*One- and two-sample t-tests, power, and sample size*
- Open Intro:
*A very basic introduction to statistics, data analysis, and data visualisation*

**Intermediate**

- Regression Models:
*The basics of regression modeling in R*
- Getting and Cleaning Data:
*dplyr, tidyr, lubridate, oh my!*

**Advanced**

- Statistical Inference:
*This intermediate to advanced level course closely follows the Statistical Inference course of the Johns Hopkins Data Science Specialization on Coursera.*

To install a course you can use the following commands in R

```
library(swirl)
install_from_swirl("Course Name Here")
swirl()
```

Datacamp have recently released a free browser based R learning tool. This is a browser based version to learn R based on a flipcard version of swirl teaching you in bite sized chunks.

Sources:

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