Thanks for watching everyone! What do you think about the career? If you're interested in 365 Data Science, this is a link to my 57% off Discount code: 365datascience.pxf.io/P0jbBY
Just wanted to point out that becoming a data scientist should not be the end-all-be-all for someone that pursues a career in data. I was a BI analyst, took a bootcamp for data science, got a job as a data analyst and then eventually moved to a Data Engineering role. But as a data engineer, I get to run all sorts of ad-hoc analysis, utilize machine learning and presenting my findings. I absolutely love my role because I get to work between building out our data pipelines while also spending time in the trenches to get to know the data. There is a lot of options out there for everyone and you might find you like an ancillary role more than a data scientist role!
As a data scientist, I can attest this is quality advice. Regarding the “AutoML is gonna take our jurbs!” - I’ve heard a lot of that regarding large language models that can now write code. Im personally not worried - humans bring information sets that are virtually never in existing text. It’s about the very broad context, which is real hard for a model to factor in. And lol yea, politics is the worst.. learned that the hard way.
2012: Data Science is the most sexist job. 2022: Is Data Science a good career choice. This is what happens when things get over hyped. Everyone wants to do data science but not ready to know what it actually entails.
What is most important to me in a career is engaging work, and good work life balance. If the work isn't engaging then I don't have much desire for it. If the work is to much, or takes me away from my family to much I don't have much desire for it.
Good to see you back Ken - great video as usual and completely agree with everything you covered. In my new data science role, I've been finding that I've had to learn a lot about Data Engineering and the entire pipeline instead of just focusing on the modelling + stakeholder management aspect.
Thanks for this, I'm a technical product owner and do a fair amount of business analysis in my role so I'm learning to move into data science in the next couple of years. I didn't know I wanted to be taking my career this direction until I took this current role and learned SQL and Python. I'm a bit overwhelmed by the amount of what I need to learn but I just keep working to make progress each day.
Switched track from my food science bachelors and working on my data science masters now. Found out this is really what I want to do after I worked with food data on one of my food science internships, and haven’t given up since.
@@KenJee_ds thanks for your encouragement! That’s a good point, it should make for a prime candidate for a data scientist position at a food company one day
6:15 , in many Asian companies, the role of a Data Scientist is often perceived as being akin to that of a subordinate, where bosses tend to offer minimal compensation (represented by a few gold coins) while expecting an extraordinary level of work commitment similar to that of a superhuman.
Just like software engineering, lots of people join the data scientist field, attracted to the high wages, but become disenchanted that something like 80-90%+ of the work is definitely NOT sexy nor straightforward. There is a high learning curve that filters out many people from ever reaching senior level. This is why junior levels roles are saturated but senior level roles have had continuous shortages.
There's a reason why it pays well, and that's because you have to put up with lots of brunt and mundane work in this field. I don't think there's anything special about data science. When it's a job, you treat it like a job.
I'm an econ student interested in finance and I was wondering if data science was a good skill to learn. Bit the hullet and used your code for 365! Heres to learning
I Ken I became a supply chain analyst, so I collect data from expeditions (fill rates, inventory, which costs/business expenses are associated to outbound logistics). Not really a data scientist nor a data analyst but still using powerbi and excel. The weirdest thing is that here in my country logisticians (truck drivers, truck lift drivers, freight brokers, back office, warehouse workers) are way more requested) than IT/data driven roles. It’s surely based on the region/district.
For me it's leverage, I think that's most important. I need to be irreplaceable, such that people who mistreat me have that sword of Damocles hanging over them always - that being the implicit threat of me going somewhere else. I hope I could obtain leverage through novelty, which I guess counts as a value, but it's anscilliary to leverage in some part. As it pertains to DS, I'm most excited by novelty through methods, rather than 'just being really good with SQL' or something. I know it's an undervalued essential, but this whole prompt is a pipe-dream so...
Hahaha I think novelty can be VERY valuable in the domain. I find my novelty comes in my approach to asking questions and problem solving. It can be with methods as well, but that is more difficult for me personally
As an engineer and computer scientist, using data science has done wonders for my job because I am in specific field. Going for DS only without any biz expertise is a fools errand. My best promotions were due to aligning my expertise, DS, and company/management goals or showing them gaps.
Thanks Dave! I think freelancing is a good option! It can be a bit hard to get your first client, but after that it is a great source of income. Generally building a brand and having a good portfolio can help you land clients!
I'm just discovering your channel, and I can see how on top of replies you are - big props btw - so I have a question: I think I'm coming at DS backwards from most people. I'm very interested and inspired by research around the areas of Bayesian dynamics, self organised criticality and emergent control systems - that kind of thing, as it applies to intelligence. Do you see the industry, or a subset of it, leveraging any of these kinds of ideas from the "quantitative life sciences" broadly, as opposed to say _just_ neural networks/Bayesian statistics/etc. in particular? Or, at least do you see a problem or class of problems in industry that seems to demand more exotic methods, like the aforementioned? I'd like to try work on a project, but I can't think of anything very interesting. ChatGPT reccomended I do something that can measure the phase changes of a distributed neural network, which sounds awesome, but I don't know how industry would care about something like that, aside from a rather uninspiring "making DNNs more efficient". Thanks in advance.
I think the research side would be a really good fit. Companies link NVIDIA are focusing largely on model improvement (theory x application) which seems like is more your lane
Im a senior in college interested in the data science career. I was pretty dead set on working as a management consultant at an MBB coming out of undergrad but I keep hearing similar stories to your own. That the wlb is absolutely garbage in comparison to tech. My major is more management heavy but also have MIS as a minor, have a high gpa(3.5+), have a decent amount of coding experience, and I’m completing the IBM professional data science career cert. Is there anything else I could be doing to better my chances other than doing my own projects and uploading them to github?
I think the projects is a great start! I would try to pick up a part time internship or some volunteer work. Going through your network or even volunteering is a way to get that experience on your resume even late in the game. I hope this helps!
For better or worse, the learning phase never ends haha. I would say it is around a year though if you are looking to get enough knowledge to land your first job. Projects are by far the best way to practice it before a job though. Kaggle.com is my favorite free resource!
@@KenJee_ds thank you so much for feedback, l am changing my career ...yet l am so dedicated to learning data science, ML and AI...l will update you here when l land my first job🙏
Guys, I am coming from a career transition. Backgroud of Engineer to data science, I got my first job last year but unfortunately the scenario changed and me and other data scientists were fired. I'm looking for any advise... I also was looking for a mentor, anybody know a way to find one? It would be amazing having some expert in the area as a mentor. Thank you
Hello Mr.Ken ,Sir currently im pursuing my bachelor's in Computer Application and along with that im also learning Data Science as well. Im in love with Day Trading and im a day trader as well ,so i was wondering is it possible to merge both Trading and Data Science field..... Moreover is it possible to get a Data Science job as a fresher. Sir as you are a Data Science Veteran , i would like to seek ur view and guidance related to this...❤
The field definitely isn't for everyone. I actually left for a while and came back. I found that the specific company and the nature of the role made a huge difference in my enjoyment of the work
Thanks so much Sir for that lovely information. Please, I have a question. What is the job description of that Medical Doctor who understands data science and machine learning as well as software engineering better than the medical practitioners and also understands Medical practice better than the data scientist/machine learning engineer and software engineers?
@@KenJee_ds I truly appreciate your reply Sir!. That will be myself in a few months. I am still trying to find out so I can update my LinkedIn profile. Regards!
Bro, that's not sexy, it is a complete perfection. You can conduct a project from end to end just by yourself. I wish i could read EEG as Im struggling with distinguishing between normal EEG and artifacts.
Going to try to start producing more again towards the beginning of next year! I've had a lot on my plate that last few months with work, so trying to re-prioritize to get more high quality stuff out there!
Great points ! Bro how to gain experience other than traditional ways & could u suggest some books to tackle my inexperience in selling service online to get initial clients faster also some best read for online money making for service based autocad design engineer, consultants who sell services by creating engineering designs..
What do you recommend for someone looking to get into this field with no formal education (college degree of any type) but doesn't have the time or money to return to school
Hi Ken! In your opinion, would obtaining Google data analytics professional certificate, CompTIA Data+ certificate and IBM data analytics professional certificate be enough to land me a entry level job of a data analyst? Thanks! EDIT: If anyone else would like to give me an advice, please do.
I think dedicating that same time to projects would probably pay better dividends. Having a certificate is fine, but employers don't value it as much as more real world work experience
i agree with Ken, i had completed the gda cert but after doing the cert and trying to find a job/internship, employer just want ur skills and how you implement that skill with a real life scenario (it doesn't need to be a hard/complex) , but just use ur every learnt skill to show it to the interviewer.
Thanks for watching everyone! What do you think about the career? If you're interested in 365 Data Science, this is a link to my 57% off Discount code: 365datascience.pxf.io/P0jbBY
What about Kaggle? would you choose 365 Data science over Kaggle? I am a beginner and I want your help on which platform would be ideal for me.
@@josephsarpong5286 Kaggle gives you more opportunity for hands-on practice. Personally, I prefer kaggle.
Just wanted to point out that becoming a data scientist should not be the end-all-be-all for someone that pursues a career in data. I was a BI analyst, took a bootcamp for data science, got a job as a data analyst and then eventually moved to a Data Engineering role. But as a data engineer, I get to run all sorts of ad-hoc analysis, utilize machine learning and presenting my findings. I absolutely love my role because I get to work between building out our data pipelines while also spending time in the trenches to get to know the data. There is a lot of options out there for everyone and you might find you like an ancillary role more than a data scientist role!
Completely agree! Hopefully it doesn't come off like data science is the only way in the video!
From my understanding data science is an umbrella term used to describe many professional fields.
@@adventurebrothers9556You are right, that's what happens. I prefer to say the "data" field rather than the "data science" field for clarity.
What is the name of the bootcamp that you took?
I'm pretty sure you're what's keeping data science sexy. Keep up the good work, Ken.
lol is it the black eye I have in the video?
As a data scientist, I can attest this is quality advice.
Regarding the “AutoML is gonna take our jurbs!” - I’ve heard a lot of that regarding large language models that can now write code. Im personally not worried - humans bring information sets that are virtually never in existing text. It’s about the very broad context, which is real hard for a model to factor in.
And lol yea, politics is the worst.. learned that the hard way.
Thanks for watching! Excited to have you on the show in 2 weeks!
Mind if you can elaborate more on the politics? Like your own experience on that?
2012: Data Science is the most sexist job.
2022: Is Data Science a good career choice.
This is what happens when things get over hyped.
Everyone wants to do data science but not ready to know what it actually entails.
True!
I think becoming a data scientist and then quitting to make videos online is a good career 🫣
Lol that works too
What is most important to me in a career is engaging work, and good work life balance. If the work isn't engaging then I don't have much desire for it. If the work is to much, or takes me away from my family to much I don't have much desire for it.
Very reasonable! I feel the same way
would you say data science is engaging to work in?
Good to see you back Ken - great video as usual and completely agree with everything you covered.
In my new data science role, I've been finding that I've had to learn a lot about Data Engineering and the entire pipeline instead of just focusing on the modelling + stakeholder management aspect.
Thanks Vivian! That is awesome about the new role. I started reading Joe Reis' new book on data engineering and I love it!
Is Data Science a good career?? Maybe...
BUT is Data Analytics a BETTER career!?!? Heck Yeah!!!
😜jk 😘
See. Data Scientist Vs Data Analyst...
@@KenJee_ds 🤣 touché
Thanks for this, I'm a technical product owner and do a fair amount of business analysis in my role so I'm learning to move into data science in the next couple of years. I didn't know I wanted to be taking my career this direction until I took this current role and learned SQL and Python. I'm a bit overwhelmed by the amount of what I need to learn but I just keep working to make progress each day.
Awesome! A day at a time is the best way to learn!
Doing a conversion degree in data & artificial intelligence at the university of Liverpool next year. Excited about this career path!
Awesome! Good luck!
Switched track from my food science bachelors and working on my data science masters now. Found out this is really what I want to do after I worked with food data on one of my food science internships, and haven’t given up since.
How did you started? I am also a food science masters student and I alsowant to switch to data science.
how ?
@@sampurnarai6903 I finished my bachelors in Food science and now I applied and started a masters in data science.
Amazing! Would be really cool to combine the two fields!
@@KenJee_ds thanks for your encouragement! That’s a good point, it should make for a prime candidate for a data scientist position at a food company one day
Great to see new video from you, Ken! Very good points on data science career! Data scientist can't be the only sexy job out there 🧐😄
Thanks Thu! Very true haha
6:15 , in many Asian companies, the role of a Data Scientist is often perceived as being akin to that of a subordinate,
where bosses tend to offer minimal compensation (represented by a few gold coins) while expecting an extraordinary level of work commitment similar to that of a superhuman.
Just like software engineering, lots of people join the data scientist field, attracted to the high wages, but become disenchanted that something like 80-90%+ of the work is definitely NOT sexy nor straightforward. There is a high learning curve that filters out many people from ever reaching senior level. This is why junior levels roles are saturated but senior level roles have had continuous shortages.
I agree!
There's a reason why it pays well, and that's because you have to put up with lots of brunt and mundane work in this field. I don't think there's anything special about data science. When it's a job, you treat it like a job.
Another banger for us data nerds. Thanks Ken!
Glad you enjoyed it! Thanks for watching!
I'm an econ student interested in finance and I was wondering if data science was a good skill to learn. Bit the hullet and used your code for 365! Heres to learning
Awesome! I hope it helps you!
I Ken I became a supply chain analyst, so I collect data from expeditions (fill rates, inventory, which costs/business expenses are associated to outbound logistics).
Not really a data scientist nor a data analyst but still using powerbi and excel.
The weirdest thing is that here in my country logisticians (truck drivers, truck lift drivers, freight brokers, back office, warehouse workers) are way more requested) than IT/data driven roles. It’s surely based on the region/district.
Very interesting! What country are you from?
Italy, actually my source is my indeed personal research when finding in my city without inserting a specific location
Hey Ken, your videos are always so elaborate & nuanced. Thanks for putting out such quality content.
learning new things everyday ! maybe no , but once a week maybe yes :D
💪
This has been relayed really well..! 😀 As a fellow data scientist, I definitely relate to these. 👍
Thanks Kartik!!
Thanks for this summary !
Thanks for watching!
For me it's leverage, I think that's most important. I need to be irreplaceable, such that people who mistreat me have that sword of Damocles hanging over them always - that being the implicit threat of me going somewhere else. I hope I could obtain leverage through novelty, which I guess counts as a value, but it's anscilliary to leverage in some part. As it pertains to DS, I'm most excited by novelty through methods, rather than 'just being really good with SQL' or something. I know it's an undervalued essential, but this whole prompt is a pipe-dream so...
Hahaha I think novelty can be VERY valuable in the domain. I find my novelty comes in my approach to asking questions and problem solving. It can be with methods as well, but that is more difficult for me personally
Great video! Keep the hard work
Thanks Steven!
bro honestly u have an inbuilt gene of content creation.
Thank you! A lot of hard work too haha
I'm a part of an 'AutoML' research group and I just wanna say this: AutoML isn't coming anytime soon 😅
Lol thanks for the confirmation
As an engineer and computer scientist, using data science has done wonders for my job because I am in specific field. Going for DS only without any biz expertise is a fools errand. My best promotions were due to aligning my expertise, DS, and company/management goals or showing them gaps.
Completely agree!
Impressive ✨
Thanks for watching!
Great video Ken. Could you please make a similar video on MLOps job prospects and demand?
Not a bad idea!
@5:03 LOL legit, I've been considering paying for the o'reilly subscription so I have access to all their books!
the make some great ones!
Just subscribed to 365DataScience and now YT now suggests your channel. Big Brother is watching 🤣
Lol
Data engineer seems like a better career to me tbh :)
could be lol
Nice video Ken! What are your thoughts on freelancing as a data scientist?
Thanks Dave! I think freelancing is a good option! It can be a bit hard to get your first client, but after that it is a great source of income. Generally building a brand and having a good portfolio can help you land clients!
I'm just discovering your channel, and I can see how on top of replies you are - big props btw - so I have a question: I think I'm coming at DS backwards from most people. I'm very interested and inspired by research around the areas of Bayesian dynamics, self organised criticality and emergent control systems - that kind of thing, as it applies to intelligence. Do you see the industry, or a subset of it, leveraging any of these kinds of ideas from the "quantitative life sciences" broadly, as opposed to say _just_ neural networks/Bayesian statistics/etc. in particular? Or, at least do you see a problem or class of problems in industry that seems to demand more exotic methods, like the aforementioned?
I'd like to try work on a project, but I can't think of anything very interesting. ChatGPT reccomended I do something that can measure the phase changes of a distributed neural network, which sounds awesome, but I don't know how industry would care about something like that, aside from a rather uninspiring "making DNNs more efficient". Thanks in advance.
I think the research side would be a really good fit. Companies link NVIDIA are focusing largely on model improvement (theory x application) which seems like is more your lane
this guy is goated
lol
Would you be able to learn the new skills during work hours, or would you have to learn them on your own?
You can generally learn them at work
Im a senior in college interested in the data science career. I was pretty dead set on working as a management consultant at an MBB coming out of undergrad but I keep hearing similar stories to your own. That the wlb is absolutely garbage in comparison to tech. My major is more management heavy but also have MIS as a minor, have a high gpa(3.5+), have a decent amount of coding experience, and I’m completing the IBM professional data science career cert. Is there anything else I could be doing to better my chances other than doing my own projects and uploading them to github?
I think the projects is a great start! I would try to pick up a part time internship or some volunteer work. Going through your network or even volunteering is a way to get that experience on your resume even late in the game. I hope this helps!
Ken me the roadmap non IT Background to IT background switch what is roadmap for those because i am fresher graduated.
I would check out my video "How I Would Learn Data Science with AI", that should help! I also have a few other roadmap videos that would be helpful
How long take learning phase of data science? Which are the best ways to practice DS before able to get a job ?
For better or worse, the learning phase never ends haha. I would say it is around a year though if you are looking to get enough knowledge to land your first job. Projects are by far the best way to practice it before a job though. Kaggle.com is my favorite free resource!
@@KenJee_ds thank you so much for feedback, l am changing my career ...yet l am so dedicated to learning data science, ML and AI...l will update you here when l land my first job🙏
Guys, I am coming from a career transition. Backgroud of Engineer to data science, I got my first job last year but unfortunately the scenario changed and me and other data scientists were fired.
I'm looking for any advise... I also was looking for a mentor, anybody know a way to find one? It would be amazing having some expert in the area as a mentor.
Thank you
Depending on what country you're in, you could check out sharpestminds
@@KenJee_ds wow, I never heard about it. Thanks! I'm from Brazil, I will take a look on the platform.
Hello Mr.Ken ,Sir currently im pursuing my bachelor's in Computer Application and along with that im also learning Data Science as well. Im in love with Day Trading and im a day trader as well ,so i was wondering is it possible to merge both Trading and Data Science field..... Moreover is it possible to get a Data Science job as a fresher.
Sir as you are a Data Science Veteran , i would like to seek ur view and guidance related to this...❤
I can't wait to get out of this field, personally.
The field definitely isn't for everyone. I actually left for a while and came back. I found that the specific company and the nature of the role made a huge difference in my enjoyment of the work
Thanks so much Sir for that lovely information. Please, I have a question. What is the job description of that Medical Doctor who understands data science and machine learning as well as software engineering better than the medical practitioners and also understands Medical practice better than the data scientist/machine learning engineer and software engineers?
I don't think that has a formal name haha. Awesome skillset though!
@@KenJee_ds I truly appreciate your reply Sir!. That will be myself in a few months. I am still trying to find out so I can update my LinkedIn profile. Regards!
Bro, that's not sexy, it is a complete perfection.
You can conduct a project from end to end just by yourself.
I wish i could read EEG as Im struggling with distinguishing between normal EEG and artifacts.
@@shisoy4809 We shall get there someday soon. Regards!
Thanks please suggest to do internship in data science
Hey do you think that an exit to consulting is also possible? Because I think Data Science skills are very valuable there.
Yes, definitely can exit to that
Your video frequency has dropped drastically, I learnt a lot from you Ken Jee, thanks for your content, please make more content frequently.
Going to try to start producing more again towards the beginning of next year! I've had a lot on my plate that last few months with work, so trying to re-prioritize to get more high quality stuff out there!
so what's the best programming/software engineering career path to maximize income?
Probably SWE at a big tech company or early stage startup where you can get equity
Great points !
Bro how to gain experience other than traditional ways & could u suggest some books to tackle my inexperience in selling service online to get initial clients faster also some best read for online money making for service based autocad design engineer, consultants who sell services by creating engineering designs..
I recommend kaggle.com! Also, volunteering if you can find the opportunity!
@@KenJee_ds Thanks a Ton 😊
What do you recommend for someone looking to get into this field with no formal education (college degree of any type) but doesn't have the time or money to return to school
I recommend doing as many projects as you can to prove your skills
@@KenJee_ds Thank you!
I am HR and 38 years old can I do career switch?
Yes
I am same, am switching my career finance to data science 🙈 , after long hrs of searching convinced myself l can do that 🙌☺️ you are not alone ;)
@@BrainyTricks thanks 🙏 let’s do it
Is it possibile to work as a part-time data scientist?
I think it is difficult but possible! Some people do this by contracting on websites like upwork
Can ai take data science job in future?
I think so, but not for a long time
is a BS in Data Science worth it?
I think it is a good degree, but you can get plenty of others and still break into the field
Data Science is an unproven career. The vast majority of businesses will never hire one, and the ones that do will probably hire an outside vendor.
Hi Ken!
In your opinion, would obtaining Google data analytics professional certificate, CompTIA Data+ certificate and IBM data analytics professional certificate be enough to land me a entry level job of a data analyst?
Thanks!
EDIT: If anyone else would like to give me an advice, please do.
I think dedicating that same time to projects would probably pay better dividends. Having a certificate is fine, but employers don't value it as much as more real world work experience
i agree with Ken, i had completed the gda cert but after doing the cert and trying to find a job/internship, employer just want ur skills and how you implement that skill with a real life scenario (it doesn't need to be a hard/complex) , but just use ur every learnt skill to show it to the interviewer.
It better be...been here for a while now...😂
Data engineer incoming 😀
Awesome! Definitely check out seattle data guy and shashank kalanithi if that is the case!
@@KenJee_ds Thank you for the tips ✌️
Can someone from physics background become a data scientist?
data science is boring
lol, yes it definitely is to some people
Great info overall.. awesome. What’s ur kaggle account?
Thank you for putting out balanced take on being data scientist!!
It should just be Kenjee :)
dont do data science its very bad field