Duration 6:00

Data Science Has Changed - Here's What to Do

by Greg Hogg

112 261 watched

3.7 K

Published 17 May 2023

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Comments - 271

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@GregHogg4 months ago I offer 1 on 1 tutoring for Data Structures & Algos, and Analytics / ML! Book a free consultation here:
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@SeanWalberg11 months ago The key is to be a " t shaped" person. Deep knowledge in a particular area, but a broad knowledge in the adjacent areas. Goes for almost any job . ...Expand 425
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@Zale3709 months ago Data science job outlook is changing rapidly and it's important to know what to do.
Data science jobs are not getting automated, but the job outlook is changing.
More data and insights are available, but humans are still needed to interpret and utilize them.
Exploratory data analysis is not as important as before, but understanding Python code and libraries is crucial.
Building projects and having skills are more important than just having credentials and spamming projects.
Data scientists need to have software architecture skills and be able to build full applications.
Coding is getting faster, so companies will need fewer people to write code.
Knowing how to put together different components and building actual applications is crucial.
Traditional analytics is getting easier, but it's merging into building full applications.
Learning data science and building applications simultaneously is important.
Being really good at your job and building full applications is essential in the changing data science landscape. .. ...Expand 116
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@elizabethmorales946911 months ago Thank you for the video! Everyone keeps talking about how ai is changing jobs, especially in technology, but you are showing us what to do. It would be great if you could make a video about pipelines, etc. Thank you! 90
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@rossgo10111 months ago Absolutely agree!
i think abundance of online training sites (datacamp / coursera / udemy) has made good fundamentals of data science fairly easy . ...Expand 58
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@jja778811 months ago The problem lays in that building simple analytics and simple models are the not the tasks of a " datathese are a the tasks of a data analyst. So yes, chatgpt can obviously replace a data analyst. In fact there are thousands of jupyter notebook templates that can be used to do this without the need of chatgpt. ...Expand 22
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@codelucky5 months ago Here are the six most important points from the video:
data science jobs are not dying, but the job outlook is changing rapidly.
exp id="hidden7"loratory data analysis is becoming easier and faster with the help of machine learning models.
companies will still need human data scientists to build and put together lego blocks of data, as chatbots cannot do this yet.
data scientists will need to know software architecture skills, libraries, frameworks, and languages to build full applications.
traditional analytics is merging with building full applications, and data scientists will need to learn how to do both.
to stand out in the job market, data scientists should learn advanced machine learning architectures and build their own technologies. ...Expand 20
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@chloewei76811 months ago This is super helpful and thanks so much! Would really love to see a part 2 deep dive into this topic if possible < 3 thank you! 6
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@Mrnafuturo10 months ago I' m sure how good python is, but few people talk about r as the default option when it comes to performing real data analysis using out-of-box packages. 20
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@3raser39 months ago Hey greg, thanks for this video. It gives me a little bit of direction in these trying times. I am a industrial engineer graduate who became a software . ...Expand 3
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@ReeSean77 months ago Hello,
i come from a different background in mechanical engineering and am pursing a ms in data science. It feels like we are learning very superficial you had mentioned, instead of this superficial knowledge, to build full applications. But can someone explain what a full application entails and a typical structure/plan for how to build such application?
much appreciated. ...Expand 2
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@senna_william11 months ago Good stuff as always! Can you give us a spoiler about what problem the startup you are working on solves? 6
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@Werepizzaa7 months ago Hey thanks for this video. This whole space is really muddy and hard to get a clear idea from someone who actually knows what theyre doing. Thank you for sharing and i really hope to apply this. 1
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@ifeanyinwobodo853011 months ago Thanks for the amazing content.
i have an intermediate level knowledge of deploying ml apps on gradio and streamlit.
will this be enough for me to get an entry level role?
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@ThinkingFella10 months ago My personal plan is to combine my currently ongoing programming education with my art-school education because i believe there is still a lot of untapped . ...Expand 4
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@gable3D10 months ago So, uh. What do you comsider a full application? I unfortunately only know how to build jupyter notebooks. 1
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@edalarconreal9 months ago Great video gregg! Thanks! Quick question though, what is the top course you recommend to learn how to build the lego castle first? Cheers!
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@stanleykubrick878610 months ago Whatdo you recommend people take to become gig worker hr specialists in temporary hiring agencies and clerks in government unemployment lines?
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@Dreadheadezz10 months ago Im about to graduate with my bachelors in data science. Definitely needed this. 5
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@rasmusmerten98409 months ago One question, where does your expertise come from? 1
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@sweetsoysauce98239 months ago I studied industrial product design & i work in marketing. What would you think i should do full stack softw or data? I usually work for myself, as . ...Expand
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@gnavarrolema11 months ago Great video. What advanced ml architectures do you recommend i learn? 2
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@dimitri2k11 months ago Thank you for the video, now need to become a full stack data scientist for that i just discover runaway for deployment could you recommend any one like this?
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@jakedawg25310 months ago Im a little half way through my data science masters should i finish or switch out, the field is looking bad, i dont feel like im learning enough. 2
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@Tamicheal2211 months ago Great stuff, i have been serving two roles for my company for a while, one is business analytics chatgpt made that so much easier for and now i have time to do my real job. 3
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@cliffordhilo870910 months ago How do you know it can' t build the whole castle soon?
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@andreglatzl41529 months ago I think you also need to become a pro using pretrained models for solving your problem. It saves you time, money and data size and results are astonishing! 2
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@Mandelbrot56711 months ago I think the lego bricks analogy you made is very appropriate. 4
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@datapro00711 months ago Greg is right. I don' t see that a lot has changed however. A full stack developer has a lot more opportunities than other folks. 6
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@vojislavmladenovic296811 months ago Does that mean to develop ourselves more as a machine learning engineer, so basically to become more of a software engineer with the mlops knowledge? 7
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@Butimnotatrader11 months ago I have to disagree, my recruiter told me there are a lot of people getting fired because they are using chatgpt to get jobs but cant keep them because lack of skill. 11
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@CTEBACp6uja11 months ago Thank you for this video, greg!
a thought that struck me right away - can you update the data scientist roadmap, having mind the changes you mentioned? 7
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@DevlogBill11 months ago Hi greg, i am kind of confused? From your conversation i hear a lot ofyou mentioned that data science has changed and is now drastically changing. Forgive me but i kind of understand what you are aiming at but what you are saying lacks substance. Would it be possible if you could elaborate further in detail and articulate precisely in clarity your overall meaning?
i understand, every youtuber state that data science is a generalist role depending on the company and their requirements. But when i hear an explanation about what data science is, i tend to hear that statistics is the primary tool, please correct me if i am wrong. I am guessing since statistic is applied then i would be under the impression data is the source and data can only be found within a relational database, correct? Such as a relational database like azure, aws, mysql, snowflake? How do data science provide value to organizations when the job isn' t clearly defined?
lastly, just out of curiosity? Why are you interested in javascript? How does that pertain to your job? Is learning javascript a hobby of yours? I mean i can understand learning r? Python? Even possibly swift for ios because i hear swift is an exceptional programming language which is capable of dealing with large datasets.
to be honest if i were aiming at becoming a data analyst even a data scientist. I would rather stick with python because chris lattner the creator the llvm and the creator of the programming language swift has created a programming language called mojo. Mojo is similar to typescript in a sense but yet it is not. It acts like a wrapper over python and to my understanding it is a very fast programming language capable of multithreading and other amazing things which make it really good for ai and machine learning. I am not trying to insult or anyone. This is not an attack but merely someone who is very curious and interested in what a data science is despite my personal opinion that data science will be nonexistent within the next 10 years, i hope i am wrong. Thank you. ...Expand 1
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@mikekertser538411 months ago The main question is - how to get a first job in ds without much experience, even as unpaid intern?
it turns out, that nobody actually wants inexperienced . ...Expand 10
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@richardvargas495010 months ago Yo i want that python hat. I view chatgpt like i do pinyin when i type chinese. I can' t manually write each character, but i do have to know how to . ...Expand 1
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@travistester523211 months ago I think this is the right answer. Building things that combine the entire process, front to back, will demonstrate the skills. 8
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@imadsyed641711 months ago Thought of getting into ds but it is becoming more complicated
what do u say get into it or quit?
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@TYRELLDYCK4 months ago I have been learning alot of coding lately. I do learn online alot but i just wanted to point out that you should probably still make a ton of projects. . ...Expand
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@runvnc20811 months ago Pretty good for the current situation, but you are referring to the future. The situation is rapidly evolving and i think its not very accurate to assume right now i am working on a startup that uses gpt-4 to control vms to install software or write simple web applications which are hosted immediately at unique ip addresses on the internet.
i have also done a contract recently to pay the bills where the user asks a question, gpt-4 writes the kql for pulling data from a table, and returns the result. It can also (if appropriate) analyze the result table and give an answer in prose, or even generate an arbitrary graph on the fly if that is requested.
you are correct about the limited context, but that is also changing quickly. New model can ingest 100, 0 tokens. Its not quite at the coding level of gpt-4 but they will get there. The hardware and software will continue to accelerate, especially over the next couple of years since there is still low-hanging fruit for optimizations of this specific application (gpt) in hardware and model tweaks etc.
within a few years, and certainly within five years, we should anticipate human-level reasoning at 100 or more times human thinking speed. Available to consumers (if not prohibited by governments) that is how fast compute performance improves. That' s not even really speculative given the history of compute efficiency gains. ...Expand 7
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@sheikkhader167610 months ago That' s true! Aligning the people in the right direction!
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@MichealAngeloArts11 months ago The " hire a data scientist to build a full data product" thing only exists when we talk about start-ups, where this is only done to save heaps . ...Expand 56
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@waqarahmad-yq2fi5 months ago What do you suggest is i am from cybersecurity background what do you suggest me being at my place, please suggest me a high level roadmap.
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@criptik520811 months ago What does it mean to build data scince applications. 3
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@rafaeel73110 months ago So the advise is to be good at the job to be competitive. I expected a bit more - perhaps before and after? 1
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@patawee31310 months ago It' s true that you said but not at this time. Data science nowadays even don' t have chatgpt or any at tools, juniors need to know a lot of stuff when i first get a job as ds, i need to. Know how to do sql, python, multiple bi tools, and strong communication skills which is a core thing from my perspective. If someone thinks that data science is just only creating the model and eda, i would know that they aren' t even in a field.
i felt really bad for further newcomers because the minimum requirements would be much higher, you need to know something much more than before because chatgpt could help us and reduce the time and cost to hire a junior and intern. ...Expand 1
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@baboidiot7 months ago Sorry im new here. What exactly do you mean by " buildingin data science?
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@EternalKernel10 months ago I have software that will change how we use computers on a fundamental level. I' m not the only one working on it and i' m pretty sure i can' t . ...Expand 1
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@LatpateShubhamManikrao9 months ago This is a really great advice. Hope people get it.
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@naevan111 months ago How would you recommend learning about these things then? These things ebeingor whatever. 1
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@sarahgao830011 months ago Any suggestions about what kind of application should i build? 1
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@plumbing17 months ago As a software developer turned plumber, this is interesting. 2
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@gunlover9410 months ago Its nice having a clearance job. Chatgpt is banned. So im safe for awhile. 1
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@madjohnshaft11 months ago Moments ago i decided that this issueand big picture building issues) was my unique skillset giving me an awesome entry point into the field and then i watched your video telling me that same thing minutes later. Boy do i wanna talk to you. ...Expand 2
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@Universal-Code23.11 months ago I am thinking about taking the data science course which one to choose and is it better to take the data science course in 2023.
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@pringlized7 months ago Thanks for the vid. Straight up no bs.
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@navi932439 months ago I disagree, if you' re a data scientist in charge of prototyping an algorithm that will make critical business decisions and/or potentially affect the . ...Expand 3
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@talhawaqas913411 months ago Do you recommend one should do certifications such as microsoft azure data science associate and aws machine learning certification?
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@junyazhang855010 months ago Able to putting things together is just matter of time, look at auto-gpt, unfortunately, i think data analytics is no longer a good career as it used to be. 1
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@fullmoonracoon95849 months ago Thank. Did not regret entering the contract.
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@macuriels9 months ago Hi new subscriber and very much a novice in data science! I liked your honest and direct style. What exactly do applications mean? Or could you point me . ...Expand
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@jacktaylor15168 months ago I mean, i get what you are saying but if i understand the entire picture and can build the whole thing myself, why am i working for someone else instead of building a start up,
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@j0shda1165 months ago Thanks, this is the best advice i' ve recieved thus far.
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@loveplay19834 months ago So you need to know both ml methods and how to build actual applications, rather than just knowing how to do the machine learning model experiment and analyze the data.
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@qpellidomombre10 months ago I disagree. There' s just too much thrill about full stack ml apps. You need a deep knowledge in mathematics and this is extremely hard. I simply don' t . ...Expand 1
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@jimmyjuju11 months ago In summary, data scientists will need to demonstrate tangible value instead of endless tinkering with data. 4
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@topkek6708 months ago Be an exceptional person, got it. What a tip. Nobody would have come up with this grandious advice, definitely worth a 9 min watch about nothing. Xoxo. 5
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@strange-love8 months ago So you' re just saying data science skillsets are converging into the stack as part of full stack developers? P.
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@user-pb5qw6il8x11 months ago You forgot to change the background screen? 1
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@Matthew84735 months ago This material encourages deep intellectual engagement. A book i read with related ideas was enlightening. " aws unleashed: mastering amazon web services for softwareby harrison quill.
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@user-nb7gp4fk7j10 months ago So it teends to become like front-end development where you absolutely must to be extremely good and skillful in dozens of different things? That sounds . ...Expand
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@siddhantkohli336211 months ago Im studying data science in australia right now n i have been enthusiastic about it for about 2 years now n still learning it.
i thing nobody absolutely anyone can code come one guys if you need to make a difference make use of statistics and be better at analytics. ...Expand 2
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@ucheucheuche9 months ago Jobbers are trapped in the technological progress cycle, where more output is expected from you, so that the utopic carrot of work-life balance at the end of the stick keeps dangling further in front of you.
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@superbiggulpz11 months ago What' s the green screen used for. 2
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@aloisduston54666 months ago Get a phd a produce a couple new state of the art advancements to the field of machine learning and you should be good. Dont be so impatient. Do it like yann lecunn did.
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@mabryscubaadventures5 months ago Greg' s desperation for your attention in quite palpable, but i' m not blaming him, i blame the youtube algorithm for making content creators plead . ...Expand 1
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@marilynlucas512810 months ago Greg Hogg : "you need someone or
company is going to need people that
understand all of the Lego blocks what
each of them do and how to put them"
ME: You can ask Chat Gpt anything. Including how to put the code together. .. ...Expand
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@homeoffice352410 months ago Virtual assistants will not gonna replace anyone. The more people and faster gonna jump in that trap the better for rest. Cybersecurity and hacking stuff . ...Expand 1
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@johnwallis162611 months ago " code stitcher" is the new job title. 3
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@mohamed-ali798811 months ago Thanks bro, you' ve earned yourself a new subscriber.
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@EricPham-gr8pg4 months ago I think depending on organization need data can be customized like government don" t want too much garbage slowcdown their machine or the advertising . ...Expand
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@jackfrosterton253011 months ago This just sounds like a token window problem.
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@ZubzSaidThat8 months ago Can someone explain what he means by actually building applications.