R is great. It’s free, it’s very powerful, and the community that uses it does a great job. Other stats programs are getting harder to get due to cost, so if you’re going to commit to learning on, I’d go with R. I know people who exclusively use SAS who are having a tough time because their organization won’t pay for a license anymore, and I expect that’s happening with a number of these paid programs.
If you’re new to programming, check out https://swirlstats.com. This will get you comfortable with R and RStudio, which is a program that adds a lot of functionality to R.
For a notch above Swirl (and beyond) I’d suggest looking at https://www.datacamp.com/courses/free-introduction-to-r. Lots of folks really like Data Camp and seem to get a lot out of it.
There’s also a Coursera course on R programming that actually starts today: https://www.coursera.org/learn/r-programming I took it years ago and it was helpful, I’m pretty sure parts of it use Swirl, or at least they used to. That way you could use it to get a more functionality out of the Swirl package. It’s definitely a time investment though!
I like Hadley Wickham’s general philosophy and use his packages regularly, so I like R for Data Science. I have a copy of the book, but it’s also online: https://r4ds.had.co.nz