For me it's definitely been faster to learn R than SQL just because it's easier to practice with R—it's free, there's tons of data on Github/Kaggle to practice with, I can easily apply it to my own data work and work with it by myself. Whereas with SQL you have to have access to a database, and for it really to be useful your company has to use SQL, you have to have access to it, etc. That's been my experience, at least. I dabbled in Python a bit but personally felt R was more useful for what I needed (basically to make Excel work more efficient and reproducible).
If that is also your need, I would recommend focusing on the tidyverse within R as it's a beginner-friendly entry point. LinkedIn Learning has some decent courses if you have access to that through your company, this looks like a decent free option through Coursera, this is a great guide, and this is a helpful workshop targeted toward Excel users.