What professions are there in it?

Question

IT education

Do you mean specific names and what languages ​​do they use?
I just don’t really understand all these branches, what from where, etc.
Specific let's say web (front / back), game development (GD for example), but then darkness.
It is difficult to learn, do and read something if you do not understand where you are moving and why.
In general, I want specifics. On the web, you definitely understand the loan, js, why php, how it is connected, and so on. But in data science, I don’t understand anything. Well, you learned the syntax of Python, and then? How is it used, where is it used, how to train it in the end, what should my home mini projects be like? Suppose there is a site on the same web - typeset, that's it! And here I am lost in all this jungle. And it also directly interferes, a frequent phrase on this yap you can do the same thing and nat this too, and on this and so on and so on and so on and me and aaaaaaa !!! I want to know THIS for THIS, but THIS is already for THIS (but just as a bonus, you can do something else), but everywhere everyone writes like philosophers around to about.
Sorry for the confusion, I hope for help and understanding.

Answer 1

DevOps, DataScentist, QA, programmer, business writer, business analyst, manager, team leader, HR, teacher (aka evangelist).
What languages ​​and what skills are required to type on HH, and languages ​​are generally secondary. Learn if you need it for a specific task

Answer 2

Look at here

Answer 3

Listing all professions will not fit into the character limit for the answer, even if you list only the names, without explanation.
A DS specialist should start not with Python, but with mathematics.
And as a home project, you can make, for example, a recommender system that will select music or a series to your liking.

Answer 4

Three years ago I wrote about breaking down into spheres (I don’t know how to make a link, so I’m copying):
1) Universal programming: Delphi, C (C ++, C #), Java, [Basic]
2) Algorithms, mathematics: MatLab and so on. (R, Python, Julia); parallel computing on the video processor (CUDA)
3) High-speed graphics, video: DirectX, DirectShow (Media Foundation) and so on.
4) Automation: PLC programming (Codesis, etc.), SCADA, Smart Home (including Arduino)
5) Functional programming: Haskell, F#, Elm
6) Design: AutoCAD
7) Databases: SQL
8) web- programming, networking, hacking

Answer 5

Can you open a headhunter?