DATA SCIENCE or SOFTWARE ENGINEERING?? ChatGPT Changed Everything

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21 окт 2024

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Комментарии : 71

@GregHogg Год назад

Take my courses at mlnow.ai/!

@waynelast1685 Год назад

Interesting video. I think a lot of people needed this. Long story short I am switching careers and going into Data Analysis and Data Science. Trust me, I am very skeptical, and have put a lot of thought into this. I want to make sure I am making the right decision. I have come to basically the same conclusions as you with a few caveats... Data Analysis ( pulling, preparing, some analysis, display of data) will become much more streamlined and require fewer people, and performed faster. But you still NEED to know the core skills, just not be an expert at it. Salaries will go down some, but more applications will be found needing more people so salaries will be somewhat stabilized. ( Microsoft Fabric is one streamlined application but will not be applicable in all situations.) Data Science ( less Data Analysis and more algorithms and machine learning) will be more streamlined also but less so. The people doing Data Analysis will be able to move QUICKER into Machine Learning skills and experience, and companies will like or request it. So higher salaries will be supported somewhat. (Microsoft Fabric again) This is still a high-growth field in terms of applications ( think IOT). That is not going away I think for a long time. If generative AI streamlines work in Data Analysis and Data Science, that leaves much more time to learn new skills like Data Engineering, Software Engineering, Cloud Tech, etc.

@thetrufh Год назад

Interested in Data Science as well. Are you considering a bootcamp or self-learning?

@thejsworld4 Месяц назад

@@thetrufhwhich did you choose? I'm considering the boot camp. If you started already, and tips?

@alananalyst7795 Год назад

that was really informative! when I started my journey I knew it's not going to be easy in tech but if I have curiosity and mindset of never stop learning I can achieve anything!

@travistester5232 Год назад

another great video Greg, I appreciate your industry insights. I am a newer analyst (2 years in now) and wondering how to stay relevant in the future with the recent shakeups. I think this is valuable information and a roadmap

@GregHogg Год назад

Definitely try to get in on the ML game! Congrats on your hard work and thanks for the support:)

@travistester5232 Год назад

@@GregHogg appreciate the advice, Greg. I will def begin my journey into ML and start to dabble in software dev afterwards to stay competitive, cheers mate

@GregHogg Год назад

@@travistester5232 Sounds great - best of luck!!

@RhoChalmers Год назад

Thank you. I'm doing my last year in my degree. I've been playing with machine learning and openai. I was wondering how I might turn this into a career. Great video.

@user.abuser_ Год назад

What do you think will be more relevant and in demand in the next 5-10 years, machine learning engineering or data engineering?

@GregHogg Год назад

Cool glad to hear it!!

@di-egohumilde4515 2 месяца назад

@@user.abuser_ both

@aryansuvarna4923 Год назад

great video greg! appreciate the insight

@GregHogg Год назад

You're very welcome and thanks for the support :)

@ahmedshehata7783 Год назад

Hey Greg, Can you please do a complete roadmap for computer vision like the one you did for data science 🙏

@GregHogg Год назад

It's super super similar, just focus some computer vision specialist stuff at the end of the data science pathway. But yeah maybe I should make a video on this

@ahmedshehata7783 Год назад

@@GregHogg Thanks really appreciate it ❤

@smiilisa Год назад

Thank you :) I have to enrol for my master's degree and was unsure between these two.

@wdeath Год назад

ChatGPT can't plan and reason, so it can't be an engineer. Also its not more clever than people, so it can't fully replace jobs. Clever is harder, engineer is easier i think,

@GregHogg Год назад

This is accurate

@waynelast1685 Год назад

Yeah but in 10 years ( maybe 3 years? LOL) ChatGPT will be able to plan and reason. But it will still need a "conductor" so you still need to learn all the skills.

@wdeath Год назад

I don't have a clue i don't think scientists know also when this will happen, but AI doesn't scare me , capitalism does, without capitalism we could let AI do only things we cant or don't want to do, but capitalism will push AI everywhere, so we need to stop voting it, and all those worries will go away.

@waynelast1685 Год назад

@@wdeath true. I what you’re saying I think is AI may not be bad, but the way people use AI is bad. There’s a lot of truth in that statement. For example, the people who control the large language models filter out information that they don’t like. So who’s to say what they don’t like or like? For example open AI is controlled by Microsoft, and Microsoft is a liberal minded company, so I know they are filtering out any conservative information that doesn’t agree with their liberal agenda. I can already see it in the type of news stories that show up in Microsoft edge. Definitely, there is a left leaning angle there, and not hardly any conservative minded stories.

@wayln2591 Год назад

@@waynelast1685sweetie you are delusional if u think conservatives will be censored. They are the ones going after everyone's free speech rights. 🤡🤡

@NanduSasikumar-r4q Год назад

Harsh reality.....just analysis on notebooks seems to be coming to an end....the fact about deployment is so true

@GregHogg Год назад

Yeah exactly!

@hemanthgupta202 10 месяцев назад

very informative Greg. you are talking about what is real. How the current market situation and How you should be best of the best. Those are all very good points Greg. I hope you'll keep this going😎. All the very best my man!🤗

@Allohistory 9 месяцев назад

So do i gain a strong foundation in software engineering before advancing to data science? Is that full proof?

@Max-vn9mu 8 месяцев назад

I am a Public Accountant, but I don't live in the United States. I want to change careers and was leaning towards Data Science. However, considering my current decent salary and the option of freelancing for extra income, I am now undecided. I enjoy programming. What are your thoughts on pursuing a career as a Python developer, in Data Science, or in Web development?

@sebastienroux1790 Год назад

Too bad chatgpt cant give you the 3-5 years pofessional work paid-for experience you need to get your first job

@RoYeRLaruku 9 месяцев назад

Thanks for the info, and the video :D

@OO-il6sl Год назад

How about becoming a data analyst? Is it better for beginners to pick a different career path?

@GregHogg Год назад

Pick which ever career path you'd like!!

@bigshot_07 Год назад

Then what's the point of making this video? If we want to choose whatever we like! 😂 @GregHogg

@anggadi1564 Год назад

The point is you should know what happpens the impact of ChatGPT to your career lol

@bigshot_07 Год назад

@@anggadi1564 haha everyone knows it! I guess you should update yourself ..lmao

@anggadi1564 Год назад

@@bigshot_07 if everyone knows then why you still ask question like foolish person lol 😄

@YakoBlast Год назад

hey greg, do you think is more easy to get a Machine Learning Engineer job as a software Engineer or as a data Scientist?

@GregHogg Год назад

Either one.

@dtae7855 Год назад

Thank you so much for this video. It gave me a lot to think about as I progress thru my undergraduate years.

@GregHogg Год назад

Best of luck!!

@user.abuser_ Год назад

Hi, Greg. What do you think will be more relevant and in demand in the next 5-10 years, machine learning engineering or data engineering?

@GregHogg Год назад

I predict both will be necessary jobs. Past that it's tough to say

@pramesh.gurung Год назад

people forget this things are just starting out. just imagine in few years how advanced chatgpt would be.

@GregHogg Год назад

Exactly

@hasiiabbasi 10 месяцев назад

What about data engineer role?

@GregHogg 10 месяцев назад

Go for it, they're great!

@josephdaquila2479 11 месяцев назад

Wouldn't MLOps be a bit of both? Edit: Nevermind, it sounds like you're saying data science roles require software engineering skills as well.

@GregHogg 11 месяцев назад

Yep, that's what I'm saying :)

@SENATOROV Год назад

*you, like me* DS ❤

@abdallahtalam1348 Год назад

Thank you sir, i tried to follow your ML roadmap but it turns out that the first recommendation (andrew ng coursera) is not free anymore, can please suggest a free alternative for beginners? Thank you

@hopelesssuprem1867 Год назад

U may ask financial help for free.

@Flavor190 Год назад

Why not pay it? If you really want improve your life you’ll have to invest some cash

@bhaskaruppada7014 Год назад

brother i am following that course for free but for no certificate by auditing that course

@akihiko99 Год назад

I have question is it not necessary to learn Software Development before learning Machine Learning? I am from non tech i want to make career as a Machine Learning engineer. So I am confuse should I learn first software development then get job as fresher but companies aren't hiring freshers or laying off freshers Software Development techies Or try path of Data Analyst --> ML engineer?

@GregHogg Год назад

It could help but isn't strictly necessary

@maveriks463 Год назад

Look at your region- what's really in demand and has openings that you could stretch to.. typically swe demand outstrip DS/MLE so think data analyst step to DS. Or swe Step to DS..

@akihiko99 Год назад

@@maveriks463 thanks i decided to go with business analytics then ml

@waynelast1685 Год назад

@@akihiko99 Business analystics is just Data analysis applied to typical business problems. It's good to learn data analysis in a specialty domain like business but don't get trapped into only knowing a few things . If you want to be a data analyst then know everything which means I would strongly suggest learn other skills.

@scrotiemcboogerballs2133 Год назад

@@akihiko99 how's your current experience in BA?

@authentic_101 5 месяцев назад

Sorry, but this wasn't very motivating. The video feels repetitive too. Sorry, but this has been a sensitive topic for many professionals like me, and tihs video didn't really help much.