How do I make sure I'm not off-loading valuable skills to AI while learning R? What experiences should and definitely shouldn't be automated?
Hi! So for context, I've been learning R for a few months now and getting the hang of it, but since I'm doing a lot of work in computational biology, I frequently use a lot of niche packages and handle large amounts of complex data with steep learning curves.
I've been trying to learn R the "natural" way as much as I can (reading documentation, stack overflow, debugging, etc), but when that stops working (or is very time consuming) I sometimes fold and ask AI for to explain a package program to me, or why my script isn't working. It has made my learning process much faster, but since I'm not an experienced data analyst, I fear that I'm not gaining the valuable skills of struggling through these things.
That being said, are there any concepts/workflows/tedious things that are valuable learning experiences that I shouldn't off-load to AI? And conversely, what are the things that you think getting AI to automate isn't a bad thing for learning R? Any input is appreciated!