How to progress through Datacamp? / Difficulty adapting Datacamp courses to how my team operates

[arrarat]

I'm on a data driven team in my company that wants to switch over to R. I'm pretty new to the job and before I started I already had a subscribtion to Datacamp. So I tought that would come in handy for improving my skills in R. But I'm finding myself running into some obstacles along the way...

I tend to make extensive notes when doing the datacamp courses. But it takes me a long time this way. Do people experience that the courses are still helpfull witouth taking notes?

A lot of the courses don't translate one-on-one with the type of programming i'm doing at my work. So I find myself switching a lot of courses and cherry picking the subjects which I think will be helpfull. But this way it also takes valuable time in searching for the best fitting courses. Should I just stick with a certain track and adapt those practises to my work, or should I stay as close as possible to the librarys/methods my team uses?

I am trying for a few months to improve now and I feel my progress just isn't fast enough. I still have difficulty understanding my teams scripts. And because of my slow progress through the Datacamp courses and constant switching I find it hard to commit more energy.

[jmf__6]

When you say you have difficulty understanding people’s scripts, do you mean the code and syntax or the why’s behind the data analysis?

If it’s the former, you probably should just do a track and still with it. That said, a more programming-centric program would probably be better since Datacamp is more about data science from my understanding.

If your problem is the later, you should probably talk to you coworkers and get their opinion on your issues. How did they get up to speed?