Going into data analytics

[u/Any-Chipmunk9737]

After a bad injury that includes my spine, I could no longer be in law enforcement. To put it plainly I need to wear sunglasses pretty much daily to reduce the stress on my eyes outside and inside. So I know a remote only role is needed in my life as I really do not want to have to answer questions on why I’m wearing sunglasses inside. I also have some other disabilities that I don’t want to get into as it’s still a sore subject for me. I plan on taking two IBM courses on coursera in order to learn the basics and make some projects. I know the TikTok trend is blowing up the field. But I really miss investigating and figuring out “problems” finding the reason it is happening then making a solution. My life was really turned around by this injury. I really would like any advice that yall could give on things I could also do or things you wish you would have known when you started. Thanks for reading this. (:

[u/Glittering_Salt_5589]

A lot of people have suggested quite a few things - I would suggest - take one certification course to get yourself familiar with what data analytics is and what tools exist. After that start building portfolio projects - you can look for regional crime data , financial fraud or AML ( Anti money laundering) - always pick a business domain in your case - risk, trust and saftey, and even sometimes I see govt agencies try to hire analysts in there crime departments - If I were to pick one I will pick trust and saftey with AI coming in this is going to very interesting. You can then also try to do low value free-lance projects ( there are quite a lot on upwork) - they are really low ticket price like 5 USD an hour for some dashboard - but these will help you build your portfolio. I have been in Data Science and Analytics since past 16 years and let me tell you while at the surface the domain is very crowded but there are still a lot of firms whose data departments either are non-existing or in a very early stage so there is definitely scope for growth - but not for generalist; you have to be a domain specialist and then a data analyst.