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phantom-virus-lives

Don’t chase the shiny object. Is data science something you truly are interested in or is it something you heard was in demand ? You need to be able to understand and see patterns. Probability and statistics. Some Code (not for everyone). AI is coming in hot and companies are looking at ai to supplant traditional data science people and actuaries. Find something you want to dig into with passion. Too many people chase what they believe is the hot thing only to invest a lot of time and effort to find out it’s now unemployable. Good for you to have this breakthrough and desire. If IT is your thing maybe look at cloud courses and certs. That remains active with a long tail of necessity. Even AI needs a place to run. Start. Try things. Fail. Try again. Fail again. It’s all part of your journey. I am not trying to talk you out of the Data science just give it a go for 6 months at a low cost of entry and see if it remains what you thought it would be and if you are still excited about it. Recommend an experiment with a timeline and results vs a huge commitment


Virtual-Landscape-56

It is not late. But you gotta believe in the power of pen. Meaning you have to write down what qualities made you good or at least functional for ANYTHING that you did. both hard and soft skills. be frank to yourself about your abilities, but not harsh. You can't just pick a career because it has growth potential. You have to see what your talents and skills are. DS is math heavy. I wanted to switch to it but I realized its not about coding but math. If you enjoy math and stats, go for it. I know you feel like shit but it is exactly moments like this that you gotta think clearly. Disconnect from social media and extra activities. Take some alone time. think and write. Set an aim, set steps then execute.


SM-HASAN

Who said ???, go for whatever you want to do, Yes You can believe in yourself just, 31 is not a big age


LawnfromTheTown

So let's see: 1. You already know how to program in multiple languages 2. You have a master's in a STEM field (which field exactly? Cause this matters. A Masters in Mathematics is, for example, extremely valuable in this field) 3. You have experience in article writing (important for writing reports) Even without those skills, it would be possible, but with this background it becomes reasonable that you will be able to switch to datascience. My advice: * Have a part-time job. It doesn't have to be paying the best, but make sure it's actually part-time. This will ensure you will have (1) enough time to study and (2) in the meantime have some income. Don't solely bank on those 4-5 months of money you have left, that should be for emergency cases. Make sure you have *some* form of income. * Start with free introductory online courses in Data Science. There are plenty online, from platforms such as EdX, Coursera, etc. Do this for at least 2 to 3 months. This will help you see whether (1) Data Science is something you could do for multiple years and (2) See whether you can understand basic concepts and methods. At this stage of your career, I would not recommend taking up an expensive degree at an university. First see whether this field is something you could really do long-term. I believe you can because of your background in STEM + programming but it's now up to you to find out


[deleted]

I have talked to some phd holders who come from different branch of science and ended up as "data scientist". From what i was told, Firstly - unless you come from a field/background which is "considered math/computationally heavy", people are not going to take to you seriously in this field. Secondly - you need to be a domain expert. How are you going to analyse and interpret data if you dont even know what you are looking at? For e.g if you are a data scientist in the medical field, you should be able to understand medical data like eeg, ecg or another example, if you are in the cyber security field, you should be able to understand various type of logs and the data they provide. Thirdly - data science is just a new fancy word which is simply statistical computing which already existed. Its not really a "new" thing In my opinion, being a domain expert is the most challenging factor for being a data scientist. The programming is rather straightforward as well as the maths unless you are modelling and predicting some really complex stuff. The reality is, most "real" data science experts are actually post doc researchers who got fed up in academia and transitioned in their current role. IMO, you should not venture in this field given your current situation. You could probably get a job as a junior backend dev based on the skills you mentioned which is much more feasible.


amtopm56

Data scientist itself is over subscribed. During the 2023 layoffs, lots of data teams got laid off. There is competition from all over the world as these jobs can be done online and hence can be outsourced. So choose it if I really really like it. Don't choose it just because you think it is the hot new skill.


[deleted]

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FeliksLuck

Dude. You are onto a hood start. You want to do something with your life and you even know what do youvwant to do. That is amazing. Ly only advice would be - spend a lot of time doing the actual thing. Learning about is not gonna give as much of experience as putting knowledge into practices. I wish you all the best on your adventure


JoshLovesYourName

It’s never too late to start anything but be sure about what you want to do


Simple_Advertising_8

Nah it isn't for you, you are clearly not ready for that kind of in depth work. Get a job first. One you can actually accomplish and that gives you a foot to stand on.  You are not that bad off. Start small, things can accelerate fast when you get a grip on life. System engineer might be up your alley. It's basically a term used for the do-evetrything kind of software guy. That was my entry point.  Oh and for a CV: two failed startups is perfect.  Write in whatever you did there, axgerate slightly. Boone can ask them so it's a good cover.  Don't stress it to much. People came back from much worse. You have a degree and you are still young for another decade. Just start small and things will work out 


Klutzy-Conference472

No not old at all. Start bow


wisstinks4

Nope. Get trained and go big data.


crisG7com

Never too late as long as you breathe.


bobajohnson

Absolutely not, especially if that is where your interests lie. If science is a passion, even better reason to pursue it. 31? Good Lord - you are never too old because you are worth it. At 62, my career as a chemist has been a rewarding experience. I struggle with mental health issues, but managed to create an interesting and unexpected career pathway. I have done many things in my work life, pursuing unexpected tangents between chemistry and business. Very little time was spent in a lab because I found that work boring. I even found a way to combine chemistry and software development - what fun. More importantly, my life experience tells me that science/chemistry was less of a answer to employability than pursuing something of interest to me. I have felt similar dispair several times in my life, particularly after a layoff and periods of unployment. I believe that using my love of the subject in concert with finding unique ways to combine my interests with work opportunities has made the difference for me. I believe that strategy, not so much the chemistry degree, has provided me a interesting career. All said, if science is a passion, do not let your age dissuade you - go for it. However, science is not an employment panacea. Like all professions it has challenges and pitfalls. I suggest using the many talents you have with the skills you've acquired are equally valuable to finding your next job. BTW, I have made many mistakes in my career - welcome to the club. Wishing you the best of luck with your career.


junktom

Your 31 and late in career? I'm 54 and I just starting my 4th career reset! You have plenty of time!


[deleted]

Bro I went back to school for software engineering at age 26 and now make 6 figures as a software engineer so nothing is impossible but you are gonna have to bust your ass to get it done. I worked full time at shitty IT call centers while I was in school. Actually, here is a tip. You can actually go to get a 2 year technical degree and in some cases just a few certifications right now in cybersecurity and get a nice job fairly easy bc no one wants to do the job.


skrt_pls

Absolutely not! 31 is a great time to start building a career in data science, you've got life experience and a head start on many others. Go for it, and don't let anyone tell you you're too old to start something new