R is a statistical programming language; think of it like an incredibly flexible super calculator. In my course, I'll walk you through the download process in a matter of minutes.
R is completely free and open-source. With 1000s of free add-on "libaries" created by some of the world's top analytics minds, you can easily harness new models and visualization techniques with only a few simple lines of code.
Unlike many coding languages, R's syntax is intuitive and short. The most powerful blocks of code in R are rarely more than 2-3 lines. The learning curve of R is very suitable to anyone wanting to learn programming for the first time or anyone who wants to pivot to an analytics career.
In this course, you'll learn all the fundamentals of R, from data pre-processing to visualizations to simulations to predictive modeling. Also, I'll teach several of my favorite add-on R libraries in-depth, so you can utilize cutting-edge analytics techniques.
Forgive the slightly wrinkled shirt, I was aggressively coding in R.