I'm in my late 30s and working hard towards career change to data science. Studying in the evenings and on the weekends as you mentioned it. Thanks for some words of advice.
Well, I've being working with Data Science for the last 9 years (switching from software engineering). And now that I managed to become a leader of a small team of junior DS's, I can confidently say that I agree with what you pointed out regarding the hurdles one experiences when landing a job in this area concerning the challenges of keeping yourself updated. My advice to the ones that already landed a job but feel burnt out because they must employ extra time to keep learning, is to stop doing that and treat your learning activities as if they were other task within your job instead. This way SOME of the time you spend working also becomes the time you spend learning without sacrificing resting time (considering mental health is crucial in order to keep up with the intellectual challenges this profession demands). Furthermore, being able to comunicate this adequately to your managers, and make them aware of the importance of it in order to generate value, is crucial as well. Believe or not, they tend to be very supportive when you communicate well.
Well, this video really helped me. I was a BTech discontinued student. And now I am doing a part-time degree in computer applications 1st year. Till now I was feeling insecure that I am not earning money and would have completed my BTech degree if I haven't discontinued. And then I set my goals to become a data scientist. Sometimes, I felt bad that I am wasting time studying, but after watching this video I once again remembered that IT'S TOTALLY WORTH IT FOR THE DECADES OF PROFESSION I REALLY LOVE.
Great tips! Just one thing - from my experience I think even a year of studying data science intensely will not guarantee that you land a data scientist role. I have seen examples of people doing it, but those are often very loud and vocal people. (Survivorship bias) What I have seen 100x more of is students getting a undergrad and postgraduate degree and still not landing an actual data science job. Note companies will sometimes call a normal analyst a data scientist so that they attract better talent (or what they see) or maybe the managers genuinely thought it was a DS role but were wrong. This career is extremely satisfying and well paid. You will have the same level of competition for this career (DS) as any other career that is high paying & extremely satisfying.
Not really sure about the statement of AI not being able to do DS in a few years. With the way things are going i think AI will easily be able to do DS and more within the next 7 to 10 years.
It's always an opinion, but I really don't see current AI replacing us at all. Anytime I do anything of moderate difficulty, AI doesn't help me. It only works well on small framed problems. Sure, it can create a boiler plate algorithm for you, but a trained data scientist will always do better analysis and build better models. I mean, AI has been out now nearly for two and realistically nothing has changed. How many professions have been lost to AI? I honestly can't think of many.
How will Ai replace a data scientist in the first place? The job opportunities for data science are so broad and one of them is working with ML engineers to create those machine learning models your skills as a data scientist are needed for fine tuning data that will later be feed to those Ai models.
Very helpful video, thank you! I'm 20 and a freshman in university pursing a degree in applied data science (likely cybersec or computer engineering, I haven't decided yet though), and this video is very reassuring as I've had many doubts :)
If AI does take most data science jobs, then it will be powerful enough to do most white collar work. And it will be able to do most blue collar work soon after. In that scenario, it doesn't matter what career you chose - all job markets will be crowded. So it's best just to act as if it won't happen. Your work may pay off. And if it doesn't, you had no better option anyway. Also - one could argue that data science will be the last jobs left. Some humans will need to monitor the AI, and that's probably going to be done by data scientists.
Thanks. Its good to hear some honesty. I am thinking of transitioning from software dev to data science. However I think that the stresses that have burned me out in software dev probably still exist in DS. That said, I like data and that interests me more than pure software dev.
@egorhowell if I am honest with myself all the things I hated about my last software dev role, vague requirements, lack of strong project management, baffling decisions etc are still likely to exist in a DS role. As a subject in itself I find DS interesting, but I am not sure thats enough. I
Hi Egor, thanks for the video. Right now I am about to graduate with a degree in computer science and a minor in mathematics. I was thinking about getting my masters in data science especially since the job market is so competitive right now and I really haven’t done enough to stand out from other undergraduates. I already know a lot of Python and SQL. Would you say the endeavor would be a good/smart move?
Its hard to say. If you do it, try and find a masters which gives you a placement in a company so that you get some experience. I don't want to make a major life decision for you! Having said that you dont necessary need a DS masters with your background, but it wouldn't hinder your application/
I find data analytics interesting and have some years of SDE experience , can I move towards Data Science. Does it requires very in depth learning of Mathematics??
I'm in 10th grade and interested in becoming a data scientist. Should I start learning data science now, even though I'm concerned about automation risks in the future?
I always wanted to be data scientist aince i was in school. I am in high school and always look for data science . All the things online confuse me and no institute teaches it here like data science. How should i move on!? Your video makes me think more hard.
Hlo am a Ugandan and i really want to be a data scientist i have been studing Cs50 online course intro to python but the problem is right now my parents don"t hv the money to push mi on and i really want to push on WHAT SHOULD I DO to keep on or what is the next step i should do to keep myself busy with data science
Sorry to hear. There are many free resources online you can teach yourself with, in fact you can literally learn everything for free. I am not sure how old you are, but if there is anyway to go to university and do a STEM degree, then thats a path that I recommend. Again, don't take my advice completely, I dont know much about you, and you shouldn't base life decision from a guy on the internet!
Learning to code is often compared to learning how to drive a car. Just because there are many bus drivers, taxis, and public transport options available doesn't discourage anyone from owning a car, nor should it. The same principle applies to coding. Owning a car means independence-you can go wherever you want, whenever you want, without relying on someone else. Similarly, coding empowers you to create solutions, automate tasks, and build ideas without waiting for someone else to innovate for you. If everyone waited around for innovation to happen, progress would stall. Owning a car doesn’t mean you have to become a professional driver, just like learning to code doesn’t mean you have to become a professional developer. It simply means you gain control, independence, and the ability to navigate your world on your terms. Whether you’re building something entirely new or just understanding the mechanics of the digital world, coding is a skill that equips you with the tools to take action, rather than waiting on the sidelines.
Hey, I understand your confusion and I am also curious where you are getting these figures from? I can believe that tech jobs are technically in demand, but there a clearly less jobs as shown by the layoffs. I can tell the supply of DS is getting bigger through looking university and college enrolments in data science and machine learning degrees, the number of applications to jobs and my anecdotal evidence through interactions and social media.
Hey, I want to be a data scientist. However, how can I reach my goal of becoming a data scientist at Google? I watched the RUclips tutorials and free courses. Now tell me about the steps for what kind of projects I should work on, how many projects I should need to get a job, and how I can prepare myself for an interview with Google. Please, I need your help.
i have question like should i go for ms in ds or ms in computer science?? i know it depends on interest but still i wanna like from US job market prespective which is more better?
I wanna start my bachelor's degree next year in data science and modelization ! Do you think that I can get a job without a master degree in this field ?
yes of course you can, although I would be lying if I said a masters doesn't help at all. Check out my previous video where I explain if you need a degree or not: ruclips.net/video/di65_OCkfTE/видео.html
Hey Egor , really nice video ! I was wondering if I could help you with more Quality Editing in your videos and also make a highly engaging Thumbnail and also help you with the overall youtube strategy and growth ! Pls let me know what do you think ?
Take my advice with a pinch of salt as I have no experience in your situation. However, having a PhD in theoretical physics is a great position. You already have the required maths and statistics knowledge, and also maybe some coding experience. Next, you need to learn some ML and start building projects to showcase your skills. I have roadmaps for this, but in general the process is the same. You just have an extra leg up from your PhD!
I'm in my late 30s and working hard towards career change to data science. Studying in the evenings and on the weekends as you mentioned it. Thanks for some words of advice.
Good luck!
@@egorhowell Thanks :)
No problem!
how is it going so far
@@otuekongwilliam Pretty good, thanks for asking
Well, I've being working with Data Science for the last 9 years (switching from software engineering). And now that I managed to become a leader of a small team of junior DS's, I can confidently say that I agree with what you pointed out regarding the hurdles one experiences when landing a job in this area concerning the challenges of keeping yourself updated.
My advice to the ones that already landed a job but feel burnt out because they must employ extra time to keep learning, is to stop doing that and treat your learning activities as if they were other task within your job instead.
This way SOME of the time you spend working also becomes the time you spend learning without sacrificing resting time (considering mental health is crucial in order to keep up with the intellectual challenges this profession demands).
Furthermore, being able to comunicate this adequately to your managers, and make them aware of the importance of it in order to generate value, is crucial as well. Believe or not, they tend to be very supportive when you communicate well.
Completely agree, incorporating learning into your day-to-day work is a game changer.
U loffer
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Well, this video really helped me. I was a BTech discontinued student. And now I am doing a part-time degree in computer applications 1st year. Till now I was feeling insecure that I am not earning money and would have completed my BTech degree if I haven't discontinued. And then I set my goals to become a data scientist. Sometimes, I felt bad that I am wasting time studying, but after watching this video I once again remembered that IT'S TOTALLY WORTH IT FOR THE DECADES OF PROFESSION I REALLY LOVE.
That's good to hear! Yep, its important to think long-term, but it is difficult.
This is so well articulated video , talking facts upfront. Thanks for this
Glad you enjoyed it!
Great tips! Just one thing - from my experience I think even a year of studying data science intensely will not guarantee that you land a data scientist role. I have seen examples of people doing it, but those are often very loud and vocal people. (Survivorship bias) What I have seen 100x more of is students getting a undergrad and postgraduate degree and still not landing an actual data science job.
Note companies will sometimes call a normal analyst a data scientist so that they attract better talent (or what they see) or maybe the managers genuinely thought it was a DS role but were wrong.
This career is extremely satisfying and well paid. You will have the same level of competition for this career (DS) as any other career that is high paying & extremely satisfying.
Agree, there is no guarantee and there is a great deal of luck involved. I still do think hard and smart work will triumph in the end.
Not really sure about the statement of AI not being able to do DS in a few years. With the way things are going i think AI will easily be able to do DS and more within the next 7 to 10 years.
do...not replace. AI that is "doing data science" is just prompt engineering. Still need someone using it as a tool
It's always an opinion, but I really don't see current AI replacing us at all. Anytime I do anything of moderate difficulty, AI doesn't help me. It only works well on small framed problems. Sure, it can create a boiler plate algorithm for you, but a trained data scientist will always do better analysis and build better models.
I mean, AI has been out now nearly for two and realistically nothing has changed. How many professions have been lost to AI? I honestly can't think of many.
agreed, its a productivity tool if anything else.
How will Ai replace a data scientist in the first place? The job opportunities for data science are so broad and one of them is working with ML engineers to create those machine learning models your skills as a data scientist are needed for fine tuning data that will later be feed to those Ai models.
Agreed. Data Scientist and ML jobs, in my opinion, will be one of the last to be replaced because of how close we are to the tech.
Very helpful video, thank you! I'm 20 and a freshman in university pursing a degree in applied data science (likely cybersec or computer engineering, I haven't decided yet though), and this video is very reassuring as I've had many doubts :)
Glad you found it useful!
Thank you Egor
glad you liked it!
If AI does take most data science jobs, then it will be powerful enough to do most white collar work. And it will be able to do most blue collar work soon after. In that scenario, it doesn't matter what career you chose - all job markets will be crowded. So it's best just to act as if it won't happen. Your work may pay off. And if it doesn't, you had no better option anyway.
Also - one could argue that data science will be the last jobs left. Some humans will need to monitor the AI, and that's probably going to be done by data scientists.
Completely agree with you!
Thanks. Its good to hear some honesty. I am thinking of transitioning from software dev to data science. However I think that the stresses that have burned me out in software dev probably still exist in DS. That said, I like data and that interests me more than pure software dev.
yeah I get that, its a really tough decision to make. What are you leaning towards?
@@egorhowellhey I am a civil engineer, I was planning to move my career to data analyst,but it's really a tough decision to make.
Yeah I appreciate that. It’s really down to personal circumstances and how much you want to be an analyst
@egorhowell if I am honest with myself all the things I hated about my last software dev role, vague requirements, lack of strong project management, baffling decisions etc are still likely to exist in a DS role. As a subject in itself I find DS interesting, but I am not sure thats enough. I
I'd argue DS is more vague as you don't have really fleshed out ticket like in SWE. A lot of the work is "researched" based.
Hi Egor, thanks for the video. Right now I am about to graduate with a degree in computer science and a minor in mathematics. I was thinking about getting my masters in data science especially since the job market is so competitive right now and I really haven’t done enough to stand out from other undergraduates. I already know a lot of Python and SQL. Would you say the endeavor would be a good/smart move?
Its hard to say. If you do it, try and find a masters which gives you a placement in a company so that you get some experience.
I don't want to make a major life decision for you! Having said that you dont necessary need a DS masters with your background, but it wouldn't hinder your application/
I find data analytics interesting and have some years of SDE experience , can I move towards Data Science. Does it requires very in depth learning of Mathematics??
Yes you can move, and there is quite a bit of maths involved. Check my previous video where I explain this: ruclips.net/video/fIzYsrR-5Bs/видео.html
I'm in 10th grade and interested in becoming a data scientist. Should I start learning data science now, even though I'm concerned about automation risks in the future?
You are so young, dw about it. Just do well in school and study a subject you like at university :)
@@egorhowell I mean after 10th, because I'll have 3 months to do anything before the results come out, and 11th grade starts after that.
Sure, if that's what you want to do! I recommend learn to program, very useful skill for you career :)
@@egorhowell What about ai risk?🙁
personally, I dont see any risk in the near future as it stands. dw about it.
What are your thoughts on a 35-year-old deciding to learn Data Science in order to build a career in that field?
Nothing wrong with it! If that’s the career you really want to be in!
I always wanted to be data scientist aince i was in school. I am in high school and always look for data science . All the things online confuse me and no institute teaches it here like data science. How should i move on!? Your video makes me think more hard.
Hey, I am slightly confused, what is your question?
@@egorhowell how should a Nepalese high school student respond to it's passion of data science.?
I still don't understand :(
You demonstrate your passing through doing projects and showing your work.
@@egorhowellthey are asking for a Data science road map
Hey, I have videos explaining the data science roadmap: m.ruclips.net/video/UF7C3HoT4k0/видео.html
Hlo am a Ugandan and i really want to be a data scientist i have been studing Cs50 online course intro to python but the problem is right now my parents don"t hv the money to push mi on and i really want to push on WHAT SHOULD I DO to keep on or what is the next step i should do to keep myself busy with data science
Sorry to hear. There are many free resources online you can teach yourself with, in fact you can literally learn everything for free.
I am not sure how old you are, but if there is anyway to go to university and do a STEM degree, then thats a path that I recommend.
Again, don't take my advice completely, I dont know much about you, and you shouldn't base life decision from a guy on the internet!
Learning to code is often compared to learning how to drive a car. Just because there are many bus drivers, taxis, and public transport options available doesn't discourage anyone from owning a car, nor should it. The same principle applies to coding.
Owning a car means independence-you can go wherever you want, whenever you want, without relying on someone else. Similarly, coding empowers you to create solutions, automate tasks, and build ideas without waiting for someone else to innovate for you.
If everyone waited around for innovation to happen, progress would stall. Owning a car doesn’t mean you have to become a professional driver, just like learning to code doesn’t mean you have to become a professional developer. It simply means you gain control, independence, and the ability to navigate your world on your terms.
Whether you’re building something entirely new or just understanding the mechanics of the digital world, coding is a skill that equips you with the tools to take action, rather than waiting on the sidelines.
Love this analogy and totally agree!
Did you use AI to write this?
@@t0m_mcc I am assuming you are not referring to my comment 😅
What are your opinions about AI Engineers?
As I've understood yet, They are a combination of Soft Dev + Data Scientist
haven't got strong thoughts, quite a new profession. Although, i feel they are just recycled version of ml engineers.
@@egorhowell correct
glad you agree!
nice vid thank you!
Glad you liked it!
✊ true
thank you!
Why are you saying supply is over demand? Explain why data scientist is in almost every top 10 on in-demand jobs list
Hey, I understand your confusion and I am also curious where you are getting these figures from? I can believe that tech jobs are technically in demand, but there a clearly less jobs as shown by the layoffs.
I can tell the supply of DS is getting bigger through looking university and college enrolments in data science and machine learning degrees, the number of applications to jobs and my anecdotal evidence through interactions and social media.
@@egorhowell i would send link but i heard youtube picky about that. Just google top in demand jobs 2024.
will have a look!
Hey, I want to be a data scientist. However, how can I reach my goal of becoming a data scientist at Google? I watched the RUclips tutorials and free courses. Now tell me about the steps for what kind of projects I should work on, how many projects I should need to get a job, and how I can prepare myself for an interview with Google.
Please, I need your help.
I am sorry, I don't work at Google, so can't give you advice on this :)
@@egorhowell It's okay, but fir every data scientists what about the journey?
@@egorhowell It's okay, but for every data scientists what about the journey?
Hey, discuss this in several videos where I give my data science roadmap. I recommend checking those out
pretty sure you'll need to go to college/university. you'll likely need courses in calculus, statistics, linear algebra, etc.
i have question like should i go for ms in ds or ms in computer science?? i know it depends on interest but still i wanna like from US job market prespective which is more better?
Hard decision, I guess CS will open up more doors in the tech space in general.
I wanna start my bachelor's degree next year in data science and modelization !
Do you think that I can get a job without a master degree in this field ?
yes of course you can, although I would be lying if I said a masters doesn't help at all. Check out my previous video where I explain if you need a degree or not: ruclips.net/video/di65_OCkfTE/видео.html
Hey Egor , really nice video ! I was wondering if I could help you with more Quality Editing in your videos and also make a highly engaging Thumbnail and also help you with the overall youtube strategy and growth ! Pls let me know what do you think ?
Hey, thanks for the offer, but I am ok for now!
Hedge funds and big institutions need data scientists
They do indeed!
Where i find those kind of companies?
@@thaliar9093 through hedgfunds
Just look for data science position in finance companies, there are quite a few!
They need quants and quant developers. Different area.
How would your advice change if I am someone who is planning to move into data science after finishing a PhD in theoretical physics?
Take my advice with a pinch of salt as I have no experience in your situation. However, having a PhD in theoretical physics is a great position. You already have the required maths and statistics knowledge, and also maybe some coding experience. Next, you need to learn some ML and start building projects to showcase your skills. I have roadmaps for this, but in general the process is the same. You just have an extra leg up from your PhD!
greattt❤❤❤
Thank you!!