I'm about to start a project on data mining and statistics and the recommended tools are Python and R. As I have never before used R I want to learn about the language before tampering with any of the project code. Also the main structure is already made by someone else and I was asked to add more features.
So that's when this question came to me. Should I get a couple of books on the topic? Am I going to be fine after taking an online course (free or paid) plus some tests and exercises in hackerrank for example? Or do these methods compliment each other so it's best to do both?
What is your opinion? How do you usually get started with programming languages and new concepts?
P.S: If you have any good recommendations on where to start with R it would be much appreciated! But the main topic of the post is still the comparison of the two methods.
Thank you!
I took many online video based courses. Some of them are very specific and some udemy courses are just rip off of famous resources out there.
My suggestion is start with book.
Once you feel comfortable using R, then you can move on to advanced courses and projects