Important R stuff
From reading the syllabus you’ll notice that we’re using R in this class. R is free (!!), and highly sought after by employers, but it has a little bit of an initial learning curve. You’ll get the hang of it, though, I promise! I’m a certified RStudio instructor (see https://education.rstudio.com/trainers/), so I’ve been specially trained to teach statistical programming. Again, I promise that you’ll learn a ton.
If you want to get a head start on learning R before class starts, you can go ahead and start working through a couple sets of interactive primers (these and these). They’re part of your first and third exercises, but you can go ahead and start them now if you want!
While R and RStudio are free and open source, they can sometimes be tricky to install. To make life simpler, you can run RStudio in your browser without having to install anything (!!!) using a service called Posit.cloud. Over the course of the semester you’ll want to eventually install everything on your actual computer, since it’ll run faster there, but you won’t need to install anything to get started. I’ll e-mail you a link to join the class workspace.
In the meantime, you can also install everything on your actual computer if you follow these instructions (eventually you should do this—it’s best to run R on your own computer, but it’s totally fine to run everything at Posit.cloud for the first few weeks)
Once again, I promise that you can do this and have a blast in this class!