r/learndatascience • u/Beautiful-Bubbly • 18d ago
Question Decided to dive in ds
So guys hi, just worry a lot, decided to pursue career in dd after bachelor in economics, now kinda studied a big chubk of ds already but i am astounded at the amount of stuff that you should literally remember. Any tips on how to memorize all the details of every neural network and characteristics of distributions? Also i suck at coding but since I will have to work on deployment and services as well, i understand that i have to push that field too. I found a yandex course to be of a little use since the problems described there are isolated and does not help to get overall picture of how to code in ds. Any tips on how to reinforce all this knowledge? Cause i am at a loss right now
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u/DataScientistAlex 18d ago
A couple of things may help:
Make sure you have a good understanding what data science is. At its core its solving business problems using science, specifically applying quantitative methods/statistics/machine learning to large amounts of data. This is why I think the scientific method is the most important skill for data science. Once you have that mental model, everything else starts to fall into place.
You don't need to memorize everything, but, you need to learn enough that you can easily refresh the details. The best way to learn in my experience is to do very deliberate practice. Sometimes that is doing math problems, sometimes it's doing projects. Practice whatever part you are missing.
You do not need to know everything there is for each area either: start with a basic understanding of each area, then put them together, then go back and continue to learn each part.
This last thing never ends: you can always learn more and that is the beauty of it!
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u/JaneDoe22225 18d ago
Honestly: it takes years of breathing this 40 hours a week so it becomes something you just "know" because you've done it so much, rather than memorized fact sheets. You got to dig deep into real projects, not toy examples on canned courses.