TechTalk #ITFields #StandOut #ComputerScience
Hey all! 👋 So, let’s talk about the IT fields that are not the usual suspects like web and mobile development but are still super important and maybe a bit underrated 🤔
Here’s the situation: I’m studying Computer Science and looking to carve out my own niche in the industry. But it seems like everybody and their grandmother is going into web and mobile development, making it a real challenge to stand out.
So I’m curious, what are some IT fields that a lot of people might be overlooking but are actually crucial in the tech world? Are there hidden gems waiting to be discovered? 🌟
Let’s brainstorm together and help each other find new paths to explore and excel in. After all, standing out doesn’t always mean following the crowd, right? Let’s get creative and innovative! 💡
Some possible solutions that come to mind:
- Cybersecurity: a hot field that’s always in demand
- Data science: the backbone of decision-making in tech companies
- Cloud computing: becoming more and more essential in our increasingly digital world
Can’t wait to hear your thoughts and ideas! Let’s empower each other to reach new heights in our IT careers 🚀💻 #Empower #Innovate #TechCareer
Medical, avionics or space are first that pop into my mind. Anything where making a software mistake is unacceptable.
Your statement is an oxymoron. I think I am using the word correctly.
You can’t stand out in something that is easy , because it’s easy and the bar for entry is low. As a result, you will not be standing out as everyone is doing it and doing regular stuff.
If people are avoiding other fields, either those fields are harder and therefore more DIFFICULT to stand out in or they are useless and you don’t want to stand out in them. Either way, you should rethink your thought process.
I absolutely understand where you’re coming from. If a field is hard and people avoid it, the people who are in it have more opportunities.
I did a Masters in data science. Every data science job I apply for has around 300 other applicants. Most of the applicants have done an online course or boot camp and want to break in to the profession. For this reason, I’d recommend staying away from data science, even if you do a PhD, because your resume will get lost in the enormous pile of applications.
The unsexy side of it is data engineering. That’s where you set up pipelines to collect data from some source, clean it, rearrange it in the way you want, and stick it in some database like AWS Athena so that other people can have the glory of finding the insight. Last time I looked, there were far more jobs available for data engineers, firstly because there’s more work to do, but second because no one really wants to do it. To get into data engineering, you’ll need to know SQL, Python, and how to use Python to set up and use the relevant cloud tools in AWS / Google Cloud / Azure.
Embedded systems.
I once fixed up some long distance wireless in a tulip field on a farm.
I didn’t see any other I.T guys and think I stood out pretty good that day in my khaki’s.
I don’t know, I just had to grind it out. In fields, in schools, in basements, in all types of crevasses. You hear about easy paths. I think most people don’t get an easy path.
Cobol. In 10 years the last Cobol programmer will die and you’ll be the only one to maintain all the infrastructure.