What's your opinion on data science? Is it a good field?
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Data science/ML
What's your opinion on data science? Is it a good field?
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I hate these dumb fricking venn diagrams, exclusively peddled by grifters.
if you can get a job
If you do not have an undergraduate AND graduate degree in mathematics or computer science, you cannot be a data scientist and the "work" you are doing is not anywhere on this venn diagram.
Reddit will ban you for telling this to women with sociology degrees that can't do basic things like solve a simple integral.
Aren't you confusing data and ML?
Data and especially data analysis does not have the same barrier to entry as ML
Yes it does and always has. Before the memes took off and status chasing incompetent morons started titling themselves as such, the average data scientist had a graduate and undergraduate degree in math or statistics.
where's EE?
They don't usually work in this area, preferring to engineer the systems that collect the data rather than working with the data collected.
I dont know whats the value of being "data scientist" over traditional computer scientist. I myself apparently am data scientist as I do research on spesific domain and use math/stats/cs/ML in my analysis kek
>the value
Financial, mainly
garbage field in which you'll be asked to do everything from sitting in meetings with "business" to configure linux servers
well defined roles do not exist anymore
Yep but it has the pay, the job security, and good career perspectives. As good as IT but generally pays better
SWE is dead, better get into a meme field now.
>SWE is dead
We're still hiring, but we're not going to pay your work permit so frick off
DS is a way better career choice than SWE
Any actual data scientist can easily move into SWE if he so chooses, but 99% of "software engineers" are too incompetent to do DS or ML
Thoughts on db admin
if you like being poor
I thought it payed well?
What about lifestyle etc?
It's comfy. Probably the comfiest admin job
If IQfy seethes about it, it's probably great
Not only it is great, it filters the average CS IQfy-tard
How so?
I don't have anything against it per se, but the "standard" tools are uniformly awful. Interactive programming in Python is like putting a square peg in a round hole.
What would you use rather than python?
Take the Operations Research pill instead.
How is it meaningfully different from data analysis?
ML, Statistics, Data Analysis => sensory system that feed the brain meaningful information by gathering data and filtering signal vs noise.
Linear & Integer Programming, and other Numerical Optimization => How to make decisions with that information.
total meme
It's the only field that still hire in masse and the math prevents bootcampers from flooding that market
The math isn't that hard.
>The math isn't that hard
True. The hard part's usually understanding what math you should use to get an actually relevant and useful insight. It's easy to generate answers that are meaningless and bogus without looking like it.
Data science or scientist is just a fancy term name to data entry since many smart people automated data entry with tech skills so job evolved to data scientist or analyst
It just means more responsibilities and skilled workers for the same cost data entry job used to pay in inflation terms for businesses
Data scientist and analyst is the bottom barrel role of data harvesting role for chad AI architect or researcher why even bother to be the bottom cuck go full chad you're the bottom cuck right anon
>Maths prevents bootcampers
Explain why there are so many of these data scientists in linkedin and jobs now from bootcamps
It's a good field, but you have to be good. I guess you can get a job just being some bullshitter plotting lines on scatterplots.
To be really good you basically need PhD level skills though. I think people don't realize how complex it really is.
This isn't to say you can't get a job doing it, but to do it right is quite a high bar. Most "data scientists" are churning out complete bullshit, and maybe thats ok for some people.
>It's a good field, but you have to be good
Isn't that true of pretty much every field?
Yes. My point was that the bar in data science is much higher than people seem to think it is.
An "average" data scientists can basically do nothing of value besides make charts for powerpoints.
Average data scientists are just data analysts. At that point it's a different job altogether.
I guess if you're mediocre you can still fall back on database administration, which is not very glamorous but at least is comfy.
yea basically. there is a whole ecosystem of "data engineering" stuff that people usually end up settling into. and maybe they have the titled "data scientist" or they change into something else
"data" is a good field to get into in the broad sense.
But an actual data scientist is, well, a scientist. And most people aren't scientists.
>"data" is a good field to get into in the broad sense.
I agree. Lots of jobs and most of them are closer to what they call "business intelligence" than statistics research
There are some data science bootcamps that are seen as pretty reputable and have high employment rates though. In Europe at least
Though most of them do deliver an accredited degree even if they aren't universities
that may be the case.
i only mean to add context so that people aren't shocked when they go through some bootcamp or something and then get imposter syndrome when they meet a person who did an actual Phd.
I understand. As I said though at that point it's a different job, you'd have to be dumb to think that a bootcamp in data analysis will lead to the same kind of career as a PhD in statistics or something.
Nah, I don't need a PhD for a field that is evolving at breakneck speed
its not evolving as fast as you think anon
It's a difficult field that requires you to be exceptionally good at multiple fields and you have to be good at doing presentations. But it pays well
t.math grad working as DS in a bank