2010 + 9

>2010 + 9
>not studying data science instead of computer science

Heh, it's like you don't want to leverage predictive analyics using machine learning to drive business solutions

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>posting a tranny

is this board legit trannies only now

data science is a sub-specialization of computer science.

Look at me like that irl and I'll major in whatever you want me to

how new

>When computer science encompasses the whole field of science relating to computers and dipshits that worship trannys who went to a coding bootcamp still can't understand.

Who dis cute softboi or woman? Moar plz.

>Data science
>posting that r9k thot
You need to go back to

this desu

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good luck getting your first data science job

Nice dubs but data science has already peaked and is on the downward slide at this point. You missed the boat by a couple years.

Excuse me

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pls bully me mistress eliza, also nice dubs goddess

good luck getting your first job. the market is completely saturated with people. it's only a good job market for those who have 5+ years of experience.

Interest is a very bad thing. By the time you hear about "the next big field" it's already too late cause retards are already flooding it, driving down salaries and crashing the job market like a biblical plague of locust.

What do you do in devops, is it just implementing changes and whatnot or is there more to it? Last time I checked it looked miserably boring.

Data science is a buzzword used to describe a certain thing in compsci

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BASED CIARA SIT ON MY FACE!!!

Data science sounds boring. At least CS is interesting

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>all job postings at the moment are data science, machine learning, and full stack webshit
what's the next meme going to be, Jow Forums?

cybersecurity & iot

Sysadmin, and "engineering" fields like software "engineering" and electrical "engineering".

same thing but prefixed with GREEN CLOUD

tfw can't land my first data science job even though literally everybody is telling me how easy it is and how in demand data scientists are

I've never felt this shitty in my life, ever

It's the same with the other meme IT degrees through the years. There is some demand, people start hyping it up as "the next big thing™" and suddenly you got 5000 people competing for a single entry level job.

Have you tried having personal projects to show you know your stuff and that you're not a retard?

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Ciara still thinks she has huge tits, those are average.

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I wish she would get gigantic implants.

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WHAT SHOULD I STUDY IF I WANT TO BE RICH, BROS??? CYBER SECURITY? OR IS THAT ALREADY A MEME FIELD? TELL ME NOW

All IT fields are oversaturated and cybersecurity is next and then after that cryptography

These 2 aren't worth getting into if you're just starting out now

>just starting out now
So what then?

You tell me

are you saying obama is the first artifical intelligence humanoid?

no he's a nigger

>Heh, it's like you don't want to leverage predictive analyics using machine learning to drive business solutions
no i actually don't want to do that.

blockchain

Imagine being less intimidating and less sexy than the average housecat.
chin-less discord trannies eternally BTFO how will they ever recover?

cloud

green cloud

The other thing people tend to forget is that this shit only really works with real science data (for which you'd also, you know, need to be a real fucking scientist for) or in areas where there have been literally 4 decades of applied research in historical data tracking and reporting (BI and data warehousing).

If you don't have one of those as a starting point, I don't know how you could ever get into the field. I don't know where you'd find enough data to have examples of problems you've solved to begin showing people that you know what you're talking about.

I don't think this is too feasible. To make anything useful in data science, you'd need to have:
1. A very large data set
2. Specialized knowledge of the data set's field of study
3. An understanding of how to, from that data, find a solution to a problem that you know is a reasonable problem to solve

Good luck finding something like that out of nowhere. People don't want to see graphs of stuff from small data sets that don't solve a problem. You can do shit like that in Excel and proves nothing.

the next big thing is going to be deepscale big flow processing with gruntle and lickypop, made with twice as much

yeah my thoughts exactly. personal projects for "data science"? on what data? doing what with it?

>NYSE:

Dude.... they know Gamestop and Walmart.

Hate to break it too you user, those tits are natural.
boobpedia.com/boobs/Denise_Milani

>data science
statistics
studying meme match
more hypnosis to this board

lol from walmart cashier to gamestop nonsense

>doesn't do porn
wasted

>denise
>natural
HO HO HO HO

>b-but anything larger then a c cup is impossible!!!!
The soi is strong with you.

You don't know what fake tits look like? Or large naturals?

If you say so. Just because someone disagrees with an opinion doesn't demonize them.
Educate me.
I LOVE denise, but I'm pretty sure she's not natural. I'm open to opinions though.

daily reminder that her tits are literal perfection

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cheked

They belong to me!
Checked

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nevermind
i found her

Can you imagine, laying next to him?

Good b8.

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Based boomer

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Her are pretty dang good in the nudes.

>tfw boomer picks up the low standards zoomers

Checked but wtf even is green cloud

It's just a junkie loser from Jow Forums

"data science" is full of community college retards AKA bootcampers with no understanding of what they're doing, real data science requires a graduate degree in statistics

Data science? Watch this.

Despite making up for 13% of the population they make up more than 50% of crime

"Statistics is to mathematics, as witchcraft is to medicine"

Which you of course didn't see, because she wasn't of age when she posted them

Of course.

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no, data science is a buzzword for a statistician who can properly use his computer as a calculator.
t. """"data scientist""""

>1. A very large data set
there is plenty of open source data in kaggle

>2. Specialized knowledge of the data set's field of study
>3. An understanding of how to, from that data, find a solution to a problem that you know is a reasonable problem to solve
this is the pleb filter and this is why majority of the self taught charlatans will give up and fail.

So basically Excel monkey.

summerfag spotted