How many hours a week do you spend reading and learning new data science skills, or revising your math fundamentals? #dataanalytics #datascience
I would say spent some time in hands on and projects as well
About half a day per week, outside work hours. Mostly it's for fun, not necessity. A more productive use of my time would be, ironically, prepping for SWE portions of interviews. Or at least learning enough frameworks to claim architect roles. Or at least writing something to publish. But here I am procrastinating.....
a few hours a week before having kids, none after
10 hours a week
Most of my learning is on the job, specific to whatever type of project I’m working on. I work long-ish hours and I literally don’t have time for anything more than that.
Reading papers, blogs, textbook section while waiting for something to run or when I don’t want to do my actual work lol
Based on current project requirements only. You will get overwhelmed so easily if you broaden the scope.
Its nice though when your current main project isn't terribly interesting or difficult
based on project. currently messing with custom GIS data right now.
I’m doing a DS masters so usually around 10-20hrs a week if you count that haha My plan in the future is to do learning in sprints or challenges, just anything to make it more fun. Maybe I’ll do x before my birthday and then I’ll feel like I really deserved my birthday presents, etc. In terms of time spent, I was thinking 5hrs a week for 1-2 months, twice a year. Get a cute coffee shop routine going on.
Casually reading papers, blogs, side hustle coding, etc... it's almost a life for me
If you don't mind, what kind of side hustle?
Prob means side personal projects @idkwtfimd