/labor/ - Labor

>>621
>I would like something in a public or non-profit sector, where I could do social science research or data analytics.
Haven't yet gotten a job but personally found some filler activities (a graduate course, and some contract work) to fill the gap in my resume. Also built out a portfolio of Python, SQL, and Tableau (public) projects. The Tableau (public) projects are just using the included "super-store" dataset, and two books: "Practical Tableau", and "Statistical Tableau". Am sort of relying on this portfolio as have forgotten most of the hard-skills from my first degree.

In terms of listings (mostly just on indeed) you might have difficulty finding public, non-profit, or social science data jobs. There's lots of health data, and some business data for the most part from the looks. Public sector jobs are not easy to get (at least in the USA) without experience. What my family has repeatedly told me is that it's important just to get your foot in the door, and then it will be much easier to switch to a different dataset when the opportunity presents itself.

>>622
Worked through most of the "Google Data Analytics Certificate", in terms of personal growth it was useless, and so didn't included it on my resume.
Think these might be more important if you don't have a relevant degree.

>>623
>Worked through most of the "Google Data Analytics Certificate"
I did that one. Yeah, half of it is just bullshit anyone with higher education already knows, and the other half gives you some extremely basic SQL and R skills that are utterly insufficient for any practical application.

How do I get contract work with no experience?

And how do I build or present a portfolio? Like what am I supposed to do, find some random publicly available dataset, and then what? What do I do with it? Where do I publish it? How do I share it with potential employers?

I am not an IT guy, as I said my education is in social science, so I cant compete with IT graduates in coding.

>>624
>How do I get contract work with no experience?
For me it was purely nepotism, and even still the contract was supposed to be larger than it was. There are things like fiver which you might be able to get a contract on, and this is something like what mine was.

>And how do I build or present a portfolio? Like what am I supposed to do, find some random publicly available dataset, and then what? What do I do with it? Where do I publish it? How do I share it with potential employers?
Can only speak for Tableau Public. To get started you could make a Tableau Public account and download the app: https://public.tableau.com/app/discover There is included a "Superstore" dataset from a model company, and most of the textbooks work with this dataset. Personally just followed along with the two textbooks mentioned previously recreating all the graphs. Have additionally done some simple data exploration, but this ended up with me making some statistically BS indicators so wouldn't necessarily suggest that. When you're done making a whole bunch of sheets there is under files a "Publish to Tableau Public" option which allows you to put your sheets up for public viewing and be directly linked on your resume.

Oh also ChatGPT is pretty finicky when it comes to Tableau, often hallucinating functions which don't exist etc. So it's a tool, but it's likely not going to help you too much.

>I am not an IT guy, as I said my education is in social science, so I cant compete with IT graduates in coding.
Well, this is a crutch for me. Have an imageboard, calendar app, and torrent client programmed not too long ago. You might be able to make a resume ready "vibescoding" project with Python, and SQL, but it would probably be frustrating. The first challenge would be coming up with something you might want to program. You might be better off focusing on the more essential skills first.

>>625
The thing is, I dont want to program. I want to get a job relevant to my degree, ideally in something that has a purpose beyond making profit for my boss. Trying to skill up in data analysis is just a clutch to compensate for my autism. I am fine with statistics and research, I sort of enjoy programming in R. Python is out of the question, I am already spreading myself too thin between R and SQL (which I dont like and would prefer to avoid).

>>626
Was just about to reply to my own post saying that it was complete BS that you would need Python or that programming would be frustrating when you might enjoy it. So sorry for being an ass. Pretty sure most data analysts aren't Python programmers. There is also btw PowerBI and Excel if Tableau didn't appeal (PowerBI is a little more popular than Tableau and Excel is just as you almost certainly know a different program.)

>>626
>I want to get a job relevant to my degree, ideally in something that has a purpose beyond making profit for my boss.
This sounds like goodness to me.

>>623
>Worked through most of the "Google Data Analytics Certificate", in terms of personal growth it was useless, and so didn't included it on my resume.
The reason you do this stuff isn't for personal development. It's so you can put the receipts on your resume.

>>629
Well, guess the idea was if folks knew what was inside then it wouldn't particularly benefit my resume which is already pretty technical and certified but has a dire lack of real world experience, and a huge gap in it. Sorry for distracting from OPs question by being ugh.

>>621
data analytics is cooked because of all the retards who made day in the life tiktok vids about it. there are no jobs left and its oversaturated, do something else

I want to learn some basic data skills but have no foundation.

I've seen things like The Wizard Book, Rust, LISP, R-something (used a lot in science?), Python (apparently old now and there's something newer Paul Cockshott uses?)…

I just want to be able to bash things together to prove points on the fly.

But I did Arts as a degree and theatre through school so I'm cooked ;_;

>>637
This would make me p. sad if it was true.

>>647
>I want to learn some basic data skills but have no foundation.
Half the stuff you listed is for programming (and good fun if you're up for it) more than for data analytics. The tools used in data analysis are SAS, Tableau, PowerBI, or Excel (pick one), R, or Python (pick one), and SQL. The basic foundational skill is some introductory statistics.

>bash things together to prove points on the fly.
The problem would probably be getting data for this. You might be better off just learning stats to make inferences from scientific articles.

>>647
Just learn Excel or LibreOffice Calc.