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  #31  
Old 01-05-2017, 01:02 PM
Westley Westley is offline
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Originally Posted by toesockshoe View Post
What differences are there in data science jobs and data analytics job... how do you tell the difference?
You might get an interesting and detailed response from several posters in this thread. I'll just say, if you're reading a newspaper, looking at a job posting made by HR, or talking to a manager or other non-expert, they generally mean the same thing.
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  #32  
Old 01-05-2017, 01:02 PM
Clem Koi Clem Koi is offline
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Why be an actuary when you can be a NYC garbage man?
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  #33  
Old 01-05-2017, 01:03 PM
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SlowMotionWalter SlowMotionWalter is offline
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Originally Posted by Westley View Post
You might get an interesting and detailed response from several posters in this thread. I'll just say, if you're reading a newspaper, looking at a job posting made by HR, or talking to a manager or other non-expert, they generally mean the same thing.
So the same as actuary vs Actuary. Got it!
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  #34  
Old 01-05-2017, 01:03 PM
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Why be an actuary when you can be a NYC garbage man?
I really miss that guy. He was gold.
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Quote:
Originally Posted by bigb View Post
You should learn to communicate in a serious manner before you expect a serious answer.
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Originally Posted by Kangaz wit Attitude View Post
Force of habit, 2pac's been typing "88" a LOT since Trump got elected.
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You ought to see the bush. It's impressive.
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Originally Posted by Pikachu
10:53 pm: some ppl dont take advices well
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Originally Posted by mayo fan
9:45 pm: ao fan would be hot covered in mayo!
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Originally Posted by Snikelfritz
if you'd like I can come visit and dress up like a girl and get in some fights
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i think everyone needs to do this type of thing to get a dose of reality and straighten people up. it's kinda like going to the mountains and becoming a monk except it's with hundreds of potatoes and a lot of stoners with tattoos in a kitchen
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  #35  
Old 01-05-2017, 01:04 PM
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What differences are there in data science jobs and data analytics job... how do you tell the difference?
Good question. If you can't tell the difference and can get the job, it's probably data analytics. It should probably involve real programming (R, C++, Python, SQL, NOSQL, etc..) and machine learning algorithms (Recommender systems, Tree models, Linear models) as a substantial portion of the job.
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  #36  
Old 01-05-2017, 01:05 PM
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I think one of them follows the scientific method.
disagree!
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  #37  
Old 01-05-2017, 01:07 PM
clarinetist clarinetist is offline
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What differences are there in data science jobs and data analytics job... how do you tell the difference?
Trying to answer this question is extremely difficult. As Riley knows, someone asked me what "data mining" is, and then I had to explain somehow how this differs from statistics, data science, etc.

The fact of the matter is that in this current day and age, these terms mean different things to different people.

My role, for example, focuses on R + Shiny + LaTeX for data reporting and visualization (and I've used Python when I need to go above and beyond for some tasks), and I'm starting to bring D3.js (with some web development) and C++ into my workflow as well. I use a lot of grad-level statistics from my Masters degree. Some people would consider me a data scientist, but I don't do any work on prediction or machine learning, particularly. I would consider myself a statistical analyst, working in data analytics.

I've also been called a statistician. I don't do any experimental design, so it's hard for me to consider myself as such.

If I wanted to become a data scientist, I would have to bolster my machine learning background substantially. I've seen the words - random forests, bagging, boosting, etc. - but I can't tell you what they mean nor can I implement them currently.
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  #38  
Old 01-05-2017, 01:07 PM
Hartke Hartke is offline
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Originally Posted by JohnLocke View Post
That's the one!

Yeah, the salaries look dishearteningly low. That's why I am assuming it probably includes a lot of "data analyst" type people.
there is a section that shows salary by job task (around page 27) that gives a little better picture. the values may not be the best, but you can get a relative perspective.

for ex:

Planning large software projects or data systems: ~110k
Basic exploratory data analysis: ~80k

I agree that the actual values are watered down.
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  #39  
Old 01-05-2017, 01:10 PM
imareal1 imareal1 is offline
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Originally Posted by Clem Koi View Post
Why be an actuary when you can be a NYC garbage man?
Maybe this is a coincidence, but when I was like 7 growing up in NYC, I found out NYC garbage men made good money. I told my fam I'd do it and it's been a running joke 'til this day.
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  #40  
Old 01-05-2017, 01:36 PM
toesockshoe toesockshoe is offline
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And would a masters program teach most of these skills?
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