14 ответов
+ 15
Data science is an applied craft, theoretical knowledge will only lay ground to your True skills. Practice is what makes you better and better.
Also, a good understanding of linear algebra, probabilistics and set theory will be essential here, regardless the weapon/language/tool used :)
If you want, you can follow the Path of the Snake with me:
https://code.sololearn.com/W2nvcMqTRi4q/?ref=app
+ 15
Kasia I suppose it's everyone's own, unique way which is the best, but I've seen both programmers moving to maths/statistics and stastisticians learning programming. With the second group having a shorter path to traverse :)
I was neither a mathematician nor a pro programmer, but I had some math&code background back in high school, so I hadto refresh it.
I took a bootcamp course in Data Science, as in my situation (having a job, a family and lots of other stuff), this seemed a reasonable way of not getting off track too quickly. It was totally worth it, a six month hardship paid off :)
+ 8
Thomas Dröge My current job is in the same field (banking). It is true that sectoral expertise is really useful, as in the end it can be your advantage over others. Knowledge of mathematics and statistics can give you good grounds, but in feature engineering it is crucial to have a good understaing of the business.
I took a bootcamp training with a weekend schedule (Sat-Sun, 8hrs/day) There was an option, too, to do it full time and it was 16 weeks then, but obviously it was not a choice for me. Still, the weekend option was not a piece of cake either. The most difficult was to do homeworks, actually :)
+ 6
Oh, kaggle...
I registered some time ago with the view that "yay, I'll be doing challenges!"
Turned out that I don't have that much of free time anymore, having switched jobs to data science already 😂
But all in all - it's worth doing real-life projects there.
Andrew Ng's course is really well-done. And it's always available, so if I need a reference, I often revert to it.
+ 3
Kuba Siekierzyński I've started thinking of getting datascientist half a year ago. Recently i've read your Blog...very inspiring. Im working as a chemical engineer and therefore i have two questions to you:
1) Ive read that you need a hard / theoretical skill (an expertise, in my case chemical engineering ) and the statistical/mathematical tools, combined with a programming language -> Is your new job as datascientist (congratulations by the way) in the same field like your last job?
2) Here in germany we have one good bootcamp for ds in Berlin (Long way from home). It takes 3 months fulltime. Thats way too long but i know that it worth ->
How did you managed it with working beside?
+ 2
I would suggest you get you python skill up to intermediate level. complement the video tutorials with a very good textbook on data science. study and practice, study and practice. Make google and stackoverflow your friend. finally, don't get intimidated most of those youtubers have been into data science for years, just take one step at a time.
+ 1
Farhan Sindy I think it's about 8 or 9 from 100 - the journey path of programming, even in Python, is a long way.
+ 1
Kuba Siekierzyński
Can you tell me a bit more about your journey to Data Science? Can you study it in PL or do one need to become a sort of self-made man combining math, statistics programming, machine learning?
+ 1
Kuba Siekierzyński Thanks for your words. Ok.. the Weekend schedule seems to be an option :-) Im at the final stage of the career track 'datascientiest with python' by Datacamp (way to passive), want to continue with machine learning by Andrew Ng (read the schedule and think it is more challenging, cause there are homeworks. you already did it and youre satisfied with your choice, right? ). At the end of the year i want to start my First kaggle competition. Youve already participated at one? :-)
Farhan Sindy i Hope its okay for 'misusing' your thread ;-)
+ 1
the truth is, the only way to truly acquire the skill is to practice practice practice.
+ 1
Thank you all for sharing! Truly motivating stories guys! I am thinking of steering more into understanding Data Science in medical research since that's my background. So yeah... I'm a little overwhelmed right now and I'm trying to get my head around what I should focus on and what skills are most useful in the beginning.
A bootcamp idea seems tempting!
0
well, data science is a big thing/ u need expertise in math, stat and also programming. not only Python u need to know several languages. google Data Mining , predictions and confidential interval
Its just a normal idea. but this thing is big
- 1
1: Use the search bar.
- 3
hi