Is there actual data to show that companies are hiring more full-pipeline data scientists? I have a feeling you came to this conclusion a little prematurely. I have seen some actual studies showing there are less data scientist roles than data analyst roles. That being the case, telling people that are brand new to data fields essentially, "Sorry if you thought you could get a job as a data analyst, that's so 2016! now you have to be a full stack know-it-all data scientist... and good luck with that!" LOL it's just setting people up for failure. So please don't do that without either a caveat that this is a career path for those who have already risen through the other data careers or that this recommendation is based on just personal observations and not any verified studies or surveys of job statistics. It's just not fair to your viewers. Hope you respond instead of ignore. You spend a lot of time making these videos, including walking on a treadmill and some animation, but as someone who has shared your videos many times on LinkedIn, I'm very often disappointed to see my heroes don't even make a couple minutes to read and respond to comments.
This must be the most helpful channel I have come across this year! You have the exact contents I need for my future career. I love you hope you have a great day!
This is truly a Gem💎!! Thankyou so much for your effort to make this Roadmap available Free for everybody, this surely helps other learners and especially me who still in early stage of this journey
I have recently discovered your channel. I too am a Data geek and have been bingeing your videos. Also viet background from australia. You are just so articulate , organised and well researched. Keep up the great work. Also your cheat sheets really helped!!!
Great video, thank you! You really demystified what full stack data science is and how to learn the required tools etc. As a software engineer I see many similarities, perhaps a transition from Software Engineer to Data Science is not too difficult to achieve.
I discovered your channel today and I am already your biggest fan 😁😁 I want to make videos too but I don't really know to publish them regularly , it takes so much time to produce.. And apart from the video aspect, I love the way you make things possible. Thank you !
Thank you Thu for another informative video. I really liked the style of this video with the added graphics. This is a road map I wished I had at the start and is still a good reference on the way to landing a data science role.
Thanks a lot, very much enjoyed the video. I feel "full stack data scientist" nicely describes were I am heading in my career right now, since I also started as a data analyst, and has been working since with lots and lots of developer tools, deployments & continuous integration, APIs, etc, slowly touching machine learning.
Amazing positive video coming write at the time that everyone is tell people to give up their career goals. The full-pipe approach makes it clear that human are essential to the work and AÍ is here only to assist us in the boring stuff. We need have to expand our expectations with the data role.
Your channel is a big help! I have wanted to transition to data science coming from a fund accounting background and didn't know where to start. That's when I came across your channel and your videos are always so informative and inspiring. Thank you so much and I hope you continue to help a lot of people! :D
Wow… amazing compilation of the road map… as a retiring programmer(engineer who last programmed in the previous century on COBOL) … so despite having a solid base… all my learning needs a complete upgrade … mostly for implementing my own ideas ..
@@Thuvu5 thanks to one of your videos I just ordered and got my copy of ‘Designing Machine Learning Systems’. The other book that I came across and got a copy today was ‘Machine Learning Design Patters’(O’Reilly) … just finished the 1st chapter… this is exactly the kind of book techno-managers need. People (like me) who are sufficiently hands on but whose primary role is to provide overall management and leadership… they need to have this level of view about the typical problems and their typical solutions…
I love so much your videos thank you for everything. Your videos are really inspiring, I allways start triping away with ideas of projects, so i have to watch mutiple times hahahah. Hugs from brazil
I think I have a video idea for you. So, I'm a data analysts doing a ton of model building, automated task development, presentations with visualizations. My question is when does the data analysis & data science end and when do you consider you're doing back end/front end development as a software development?
Hi Vu! Thank you for this video that makes me think more comprehensively about the data pipeline. Amongst many lay-offs in a startup company in SEA, the fundamental reason to make talent stay is this full-stack data science skill. One that can not only query, and make dashboards, but also make their hands dirty to scrape, create modeling, do NLP, and other jobs that solve particular problems every company embraces. A long road to go, getting overwhelmed sometimes, but as you said, do not lose sight of the purpose. Thank you once again for the video!
Honestly at that point if a company primarily handles data as a product then you might as well open your own competing business. You’d already know how to build the entire thing from the ground up. Forget $124k a year… it should be comparable to the net revenue of the company wanting to hire you.
I spent last 13+ years in marketing - mainly digital marketing and CRO (A/B testing etc.) Now I want to switch into more data driven area to use this experience. My plan is quite simple -> Excel (Done) -> Power BI -> SQL / BigQuery (Done/in progress) -> Python (done a little bit - until now I was building web crawlers and scripts to calculate campaign pacing). I have multiple Google Analytics certificates so I don't want to move to something super-new :)
Good topic for discussion. Also I'd like to add that ml-engineer should know hadoop, docker, linux and c++ for python's extensions and prod (in CV this is essential requirement).
@@hyperadapted for example, in computer vision a lot of libraries and extensions are written using c++. It is a widespread requirement for cv-engineers because python is too slow and almost all cool projects are made with a low-level languges (self-drive, voice assistants and another things)
@@hyperadapted we're talking in the context of "fullstack". ML is not only how to learn a model, it's also and data processing and production. I mean that it's not enough to use fit/predict to be a good ml-engineer, it's also about how to implement models into products and here we have to know a lot of additional things.
As with any IT-disciple, I believe it's better to specialize first and stick with something till you really master it before moving on to become a generalist.
I agree with you, i always thought all this get into Tech Bootcamps should always start from Full stack Software Engineering then to Data Science/ Devops/ Cyber security etc, Let me not say anything about Tech Project managers with non Tech background.
Is there anything left out there related to computer software that you missed? So basically, I have to be a professor in math and computer, science, programming and software engineer professor.
As the circles in full stack, the only things I lack is Javascript (I hardly do/use it so not as good) and in-depth Machine/Deep Learning. (Studied it, but I liked Data so focused on SQL a lot) I'm still applying for a position yet so hard to find one. (Even though I have a double Bachelor's and Google Certificate and IBM Certificate)
Question How much time will it take for a person to learn everything bout full stack data scientist at a intermidate level(if the person is starting from scratch)
keep at it, it helps to learn to code by solving something you have an interest in or using it to solve a work problem (you can then put this on your CV)
Very helpful. Thank you so much, I really learned a lot from this video and it gives me a clear road map in the data analysis field where I am at the entry level.
I'd think something relating businesse intelligence and data presentation is missing in this roadmap. In various cases companies just want a Power BI, Qclick dashboards connected to an ML model to visualize different indicators or metrics. Everything else said is pretty clear and spot on regarding real life application.
Thu Vu ma'am one confession I had buy so many mooc courses and end up doing nothing and get confuse at the end. then I started reading ebooks pdfs which are totally free no money required (and some free articles , videos and sites). and they actually helpful. so i will suggest rather than wasting money in 2023 and doing nothing with courses , try to do with free of cost resources and save money to buy tools for study like tabs , laptops or some component for pc . its my opinion . some books i suggest for newcomers (they are available on github and pdfdrive site) 1) Data engineering with python by packt publication( my fav) 2)python data analytics 3) postgre up and running 4)python data science cookbook 5)linux bible 6) 'python cookbook' and 'python distilled' with 'automate the boring stuff with python" 7) data science on AWS good luck merry christmas! and happy new year in advance!
Hi @Thu, I have joined an organization as a data analyst but my role includes data engineering, data analytics and data science in the future. Does it make sense to change my designation to "Full stack data analyst"?
Hi @@Thuvu5 , But would having a "Full Stack" in my designation help me for next job? You mention in your video that the next big designation will probably be Full Stack Data Scientist.
No don’t be! There’s no need to learn everything right from the start. You can find your own happy spot wherever it is. I meant this to be a suggestion for a career if you were to broaden your skill set. Good luck and keep learning 🙌
![[DOKKAN BATTLE] Worldwide Campaign Announcement Video Part 2!](http://i.ytimg.com/vi/JpT5Voak6WA/mqdefault.jpg)
I had to buy a treadmill for the video intro.. 🥲
So dedicated! Lol
Or you could have used MJ fake walking
@@neptoonpalace4027 I've tried it and it looked surely embarassingly fake 🤣
😆😆😅
Is there actual data to show that companies are hiring more full-pipeline data scientists? I have a feeling you came to this conclusion a little prematurely. I have seen some actual studies showing there are less data scientist roles than data analyst roles. That being the case, telling people that are brand new to data fields essentially, "Sorry if you thought you could get a job as a data analyst, that's so 2016! now you have to be a full stack know-it-all data scientist... and good luck with that!" LOL it's just setting people up for failure. So please don't do that without either a caveat that this is a career path for those who have already risen through the other data careers or that this recommendation is based on just personal observations and not any verified studies or surveys of job statistics. It's just not fair to your viewers. Hope you respond instead of ignore. You spend a lot of time making these videos, including walking on a treadmill and some animation, but as someone who has shared your videos many times on LinkedIn, I'm very often disappointed to see my heroes don't even make a couple minutes to read and respond to comments.
"Full-Pipe" 🤣🤣 I like this instead of full-stack; i'm gonna start using this term! 🙌🏼
Haha I'm not sure about this Luke! 🤣 It sounds a bit weird to me lol 🤔
It’s so dark I path I think Full-Tunnel better 😂
See introduce new Terms in the IT industry Full Pipe instead of Full stack.
😂😂😂😂
Oh the legend Luke Barousse is here, nice to see you man.
This must be the most helpful channel I have come across this year! You have the exact contents I need for my future career. I love you hope you have a great day!
This absolutely made my day!! ❤️🤗 thank you so much! Have a great day to you as well!
This is truly a Gem💎!! Thankyou so much for your effort to make this Roadmap available Free for everybody, this surely helps other learners and especially me who still in early stage of this journey
Thank you Aslam 🤗🎉. Merry Christmas!
I have recently discovered your channel. I too am a Data geek and have been bingeing your videos. Also viet background from australia. You are just so articulate , organised and well researched. Keep up the great work. Also your cheat sheets really helped!!!
Thank you sooo much for those kind words!! Really appreciate it! 🇻🇳
I have joined scaler dsml course ,if u want to join i can make u speak with the scaler team and if u join through me you'll get discount on total fees
Your videos are always amazing, but this is one of my new favorites. Thank you so much for this, Thu! It is so helpful!
Great video, thank you! You really demystified what full stack data science is and how to learn the required tools etc. As a software engineer I see many similarities, perhaps a transition from Software Engineer to Data Science is not too difficult to achieve.
The first video that i see speaking about data professional full-stack, so awsome, thank so much!
I discovered your channel today and I am already your biggest fan 😁😁 I want to make videos too but I don't really know to publish them regularly , it takes so much time to produce..
And apart from the video aspect, I love the way you make things possible. Thank you !
Thank you Thu for another informative video. I really liked the style of this video with the added graphics. This is a road map I wished I had at the start and is still a good reference on the way to landing a data science role.
I’m so glad you liked it Michelle!! 🤗
Thanks a lot, very much enjoyed the video. I feel "full stack data scientist" nicely describes were I am heading in my career right now, since I also started as a data analyst, and has been working since with lots and lots of developer tools, deployments & continuous integration, APIs, etc, slowly touching machine learning.
Great video! Thank you!!!
Might be my new favorite channel. First I've seen of you.
Thank you. This inspires me to think about how I will grow as a data analyst in 2023, as well as how I can inspire and develop my data coworkers.
That's exciting! 🎉 Thanks for watching Matt! Good luck in 2023 😀
Amazing positive video coming write at the time that everyone is tell people to give up their career goals. The full-pipe approach makes it clear that human are essential to the work and AÍ is here only to assist us in the boring stuff. We need have to expand our expectations with the data role.
I absolutely agree! AI still gets a lot of things wrong so there'd better be a human there 😅
Your channel is a big help! I have wanted to transition to data science coming from a fund accounting background and didn't know where to start. That's when I came across your channel and your videos are always so informative and inspiring. Thank you so much and I hope you continue to help a lot of people! :D
Check out Data Science Infinity, it could be super useful for continuing to understand the best pathway! data-science-infinity.teachable.com/
Wow… amazing compilation of the road map… as a retiring programmer(engineer who last programmed in the previous century on COBOL) … so despite having a solid base… all my learning needs a complete upgrade … mostly for implementing my own ideas ..
Thank you Nitin! Have fun with your projects 😀
@@Thuvu5 thanks to one of your videos I just ordered and got my copy of ‘Designing Machine Learning Systems’. The other book that I came across and got a copy today was ‘Machine Learning Design Patters’(O’Reilly) … just finished the 1st chapter… this is exactly the kind of book techno-managers need. People (like me) who are sufficiently hands on but whose primary role is to provide overall management and leadership… they need to have this level of view about the typical problems and their typical solutions…
Thanks really useful.
I love so much your videos thank you for everything. Your videos are really inspiring, I allways start triping away with ideas of projects, so i have to watch mutiple times hahahah.
Hugs from brazil
Aw thank you so much, hugs 🤗
I never discovered I'm already a full stack data scientist until I discovered this lmao. Thanks for bringing this Thu
I think I have a video idea for you. So, I'm a data analysts doing a ton of model building, automated task development, presentations with visualizations.
My question is when does the data analysis & data science end and when do you consider you're doing back end/front end development as a software development?
Awesome. I am becoming your fan now. Great explanation.
Thank you 🙏☺️
Hi Vu! Thank you for this video that makes me think more comprehensively about the data pipeline. Amongst many lay-offs in a startup company in SEA, the fundamental reason to make talent stay is this full-stack data science skill. One that can not only query, and make dashboards, but also make their hands dirty to scrape, create modeling, do NLP, and other jobs that solve particular problems every company embraces. A long road to go, getting overwhelmed sometimes, but as you said, do not lose sight of the purpose. Thank you once again for the video!
So glad you got value from this video Fitrie! Good luck with everything 🙌🏽
Thankyou for sharing the roadmap becoming full stack data scientist, it helps a lot for me finding the next topic to learn.
You are truly kind person. Thank you very much for your guide about data science roadmap ✈️
Glad it was helpful!
@@Thuvu5 yess big thanks to you :)
It is the best channel for data science that I came across, and the roadmap you shared here is just awesome, thank you so much for your efforts 😊
Thank you for this 🙏🏻
Cảm ơn chị rất nhiều ạ! Chúc chị thật nhiều sức khoẻ
Chị cám ơn em! Chúc em sức khoẻ, hạnh phúc và nhiều may mắn :)
Honestly at that point if a company primarily handles data as a product then you might as well open your own competing business. You’d already know how to build the entire thing from the ground up. Forget $124k a year… it should be comparable to the net revenue of the company wanting to hire you.
Fantastic. Thank you so much!
I spent last 13+ years in marketing - mainly digital marketing and CRO (A/B testing etc.) Now I want to switch into more data driven area to use this experience. My plan is quite simple -> Excel (Done) -> Power BI -> SQL / BigQuery (Done/in progress) -> Python (done a little bit - until now I was building web crawlers and scripts to calculate campaign pacing). I have multiple Google Analytics certificates so I don't want to move to something super-new :)
I was always on the fence between WebDev and Data Science. This video showed me that there is so much overlap
Good topic for discussion. Also I'd like to add that ml-engineer should know hadoop, docker, linux and c++ for python's extensions and prod (in CV this is essential requirement).
@@hyperadapted for example, in computer vision a lot of libraries and extensions are written using c++. It is a widespread requirement for cv-engineers because python is too slow and almost all cool projects are made with a low-level languges (self-drive, voice assistants and another things)
@@hyperadapted we're talking in the context of "fullstack". ML is not only how to learn a model, it's also and data processing and production. I mean that it's not enough to use fit/predict to be a good ml-engineer, it's also about how to implement models into products and here we have to know a lot of additional things.
I have joined scaler dsml course ,if u want to join i can make u speak with the scaler team and if u join through me you'll get discount on total fees
Thank you so much for your efforts
Love you from 🇳🇱
Thanks for sharing, your content is invaluable!
What a wonderful and informative Video.
Everything step-by-step.
Thank You so much.!
aloha
Aloha! Thank you so much Scott 🙌🏽
Hello Thu Vu,
I discovered your channel through Luke's,
Thank you for this great video, it's brilliant !
Keep inspiring insh'Allah
I am getting whiplash here. We needed to specialize. Now we need to be deep generalists? It's tough to hit a moving target.
As with any IT-disciple, I believe it's better to specialize first and stick with something till you really master it before moving on to become a generalist.
Very helpful. Are you doing RUclips and holding a full-time job? How do you manage your time?
Thank you for your investment in creating this comprehensive video and FREE roadmap document
Thanks for clarification on the path to become Full Stack Data Scientist
I have joined scaler dsml course ,if u want to join i can make u speak with the scaler team and if u join through me you'll get discount on total fees
you almost mentioned every technology in a single video😂
Thank You it was really informative for me as a begineer🤗🤗
Haha I attempted to 😂. Thank sfor watching Amit!
Love this lady so much. I’m just started learn to program😂❤
Thank you so much and good luck with learning !! 🙌🙌
It was an amazing road map unnie ! Waiting for 'Deployment' video eagerly . 🙂
Thanks for the video and roadmap
I agree with you, i always thought all this get into Tech Bootcamps should always start from Full stack Software Engineering then to Data Science/ Devops/ Cyber security etc, Let me not say anything about Tech Project managers with non Tech background.
Is there anything left out there related to computer software that you missed? So basically, I have to be a professor in math and computer, science, programming and software engineer professor.
Banger video, very helpful
As the circles in full stack, the only things I lack is Javascript (I hardly do/use it so not as good) and in-depth Machine/Deep Learning. (Studied it, but I liked Data so focused on SQL a lot) I'm still applying for a position yet so hard to find one. (Even though I have a double Bachelor's and Google Certificate and IBM Certificate)
Thank You for wonderful content
Question
How much time will it take for a person to learn everything bout full stack data scientist at a intermidate level(if the person is starting from scratch)
I love this video 😊❤️
They better pay $1 million for the Full Pipe Data Scientist job. I dont think there is one right now, its like a unicorn.
Love this thank you so much for sharing. I started with Tableau and SQL this year, Python is next ❤.
keep at it, it helps to learn to code by solving something you have an interest in or using it to solve a work problem (you can then put this on your CV)
@@wtidowu absolutely! I have been reverse engineering dashboards and writing sql queries every day. I can wait to get into Python 🙂.
Thank you for making this amazing informative video.
Too bad every job posting has 500 applicants and requires 10 years experience (internships included)
Very helpful. Thank you so much, I really learned a lot from this video and it gives me a clear road map in the data analysis field where I am at the entry level.
Cảm ơn chị and Happy new year!😊
Helpful,🙏
Love u it helps a lot
the data lore website with the roadmap has all text shuffled :(
This sounds like the old full stack but with extra layers. Which is now the entire IT department
Thanks mam for helpful vedio ☺️☺️
I would love to see you dive more into deployment and data engineering. Is there someone you would recommend following for those fields?
Awesome roadmap, thanks for sharing Thu
love u
Its possible to be good with onlye practise and tutorials?
Dear Vu, your videos are priceless gems that are an enormous help! Thank you!
I'm so glad you found them helpful 🤩🙌🏽
Great Video, Also i am a Full stack web dev, What would be the learning curve and how much time would it take for me to switch to DS/ML?
Great video @thu Vu
Maybe companies wouldn’t want full stack employees if you made it seem so easy
how come she describes some DevOps architect project manager set of skills instead of a single role data scientist 😅 times are strange nowadays
Thank you very much for this explination
all of this free info should be paid! thank you so much thu vu! Keep it up, I learned a lot from your channel
Đỉnh quá chị ưiiii
Thank you! Not only for the video but for the Datalore... 👌
I'd think something relating businesse intelligence and data presentation is missing in this roadmap. In various cases companies just want a Power BI, Qclick dashboards connected to an ML model to visualize different indicators or metrics. Everything else said is pretty clear and spot on regarding real life application.
Full pipe - yes the intro was truly inspiring.
your video is great. i like is hellfull
Great video.
What would be some good portfolio projects that could showcase all these skills?
Thu Vu ma'am one confession
I had buy so many mooc courses and end up doing nothing and get confuse at the end.
then I started reading ebooks pdfs which are totally free no money required (and some free articles , videos and sites). and they actually helpful.
so i will suggest rather than wasting money in 2023 and doing nothing with courses , try to do with free of cost resources and save money to buy tools for study like tabs , laptops or some component for pc . its my opinion .
some books i suggest for newcomers (they are available on github and pdfdrive site)
1) Data engineering with python by packt publication( my fav)
2)python data analytics
3) postgre up and running
4)python data science cookbook
5)linux bible
6) 'python cookbook' and 'python distilled' with 'automate the boring stuff with python"
7) data science on AWS
good luck
merry christmas!
and happy new year in advance!
hey, can u share the link of the roadmap? the page is not working for me
Hey, I’m not sure why it doesn’t work. Maybe try a different browser?
thanks for this video!
Giờ mới biết đến kênh của chị, bổ ích lắm ạ
the only full stack projects I am experienced with, come in the form of pancakes!
Haha that must be good pancakes 🤓. Thanks for always making me laugh 😂
What's is the name of this AI tool that writes a python script that does nothing?
Just when i need it. Thanks a lot
You're welcome 😊
Data science is best or Artificial intelligence ❤
Like the video intro 😂
Full stack 5 role on 1
Hi @Thu,
I have joined an organization as a data analyst but my role includes data engineering, data analytics and data science in the future.
Does it make sense to change my designation to "Full stack data analyst"?
Wa! you have precisely the same role as me in my company, I will put a reply here to look for any answer :3
That sounds cool 😅. I'm not sure, I guess the title doesn't really matter so much as long as you successfully show you can do stuff 🤔
Hi @@Thuvu5 ,
But would having a "Full Stack" in my designation help me for next job?
You mention in your video that the next big designation will probably be Full Stack Data Scientist.
Thanks!
I feel a little discouraged, been learning DS on my own now I need to be Full Pipe to get a job ? 😢
No don’t be! There’s no need to learn everything right from the start. You can find your own happy spot wherever it is. I meant this to be a suggestion for a career if you were to broaden your skill set. Good luck and keep learning 🙌
@@Thuvu5 Your channel is a goldmine, thank you for everything you do.
Never stop learnt!
Beautiful video. But, I think to be full stack here is soooo difficult (it's more probable in web development)
Thx a lot !!!!🙏🙏
I know Python, Django, Dash, React, d3.js, Tensorflow (Google certified), Pytorch, CV2, NLTK and Spark.
How good am I?
Why did you learn React? Has it been useful?
It's like MLops right?
Nice video intro😀
it's SQL, not CQL