How I Would Learn Data Science with AI (If I Could Start Over)
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- Опубліковано 3 тра 2023
- #DataScience #KenJee #ai
In this video, I explore the changing landscape of data science in the age of AI, and how tools like ChatGPT and GPT4 are transforming the way we learn technical skills. I discuss the relevance of data science in the AI-driven future and provide a step-by-step guide on how to learn data science effectively by leveraging AI tools. Join me as I share my thoughts on the future of data science and the importance of creating real-world impact with your projects.
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Thank you so much for the video . I had the same questions and your answer was really good.
Thank you so much for this
Really happy to hear this was helpful! Thanks for watchin!
This was very helpful! I re-started my data analyst learning recently and feel a bit lost of where begin again. Currently studying python and sql. I'll be sure to check your other vids out as well. Thanks again
Happy I could help!
Your perspective and approach is very good as always. Thank you.
Thank you for watching my friend!
On point! I was totally surprised with people's reaction that this AI explosion would make data science *less* relevant, due to automation. At this time, massive amounts of money are getting poured into machine learning. So my reaction was the opposite. And since using ChatGPT and having some familiar with their scaling laws, I don't see DS getting abstracted away. You said it better than I could 👌
💪
Soo what is the most secure AI field to go into? And what school do you recommend?
Hey Ken, just to let you know I'm a beginner in this field and just like a kid I was looking for how to start on type videos. Fortunately I found you and you made total sense to me regarding everything. Looking forward to follow you more on this journey and also by reading comments of other people I can deduce you are a good guide and very soon I'll find it out too ;)
Thanks for watching! Hope the channel will be helpful to you!
Your gains bro. You looking crazzzy. Good job. Great video as well.
Haha thank you!
Hi Ken, awesome video as always! I'm finishing my PhD in Physics next month and planning to leave academia to go into data science. I've found your videos on these topics incredibly insightful. I've been using ChatGPT to start doing some fun side data science projects and learn more about Machine Learning (took a course in it like ~4 years ago, so very rusty on the topics), and it has been incredibly helpful as a knowledgeable assistant. For someone with coding experience in Python but maybe not expert developer level, ChatGPT is so good at getting one started at learning how to use new packages and tools that are outside of one's current knowledge base. I know several friends who are also planning on leaving academia and trying to break into data analysis/data scientist roles, so I will be recommending them to your channel!
Amazing! Excited to hear how the transition goes! Really happy to hear the channel has been useful on your journey :)
Is transitioning to data science worth it by leaving academia in upcoming 10 years down the line despite the fact that AI will update itself in future. Please answer it because I am also in the same boat.....❤
I think domain knowledge of Physics (or any other field) definitely can leverage your odds, especially now with gpt, the focus in this area shifts quite a bit, more towards interpretation skills and away from coding
Elite editing on this and honestly I think data scientists are well positioned for the new ai world
Thanks Nash! Also, shoot me an email at kenjee.ds@gmail.com would love to have you on my podcast
@@KenJee_ds sounds great, will do!
@@datanash8200 Nice to see you here. You and Ken are definitely my guide because I'm new to this from a very different field and it feels overwhelming what I have to learn to be able to even get an interview.
Thank you Ken for this video. I signed onto your course on Udemy about "How to Start a Career in Data Science 2023". Great content.
You and @DataNash are definitely my guide because I'm new to this from a very different field and it feels overwhelming what I have to learn to be able to even get an interview in the UK.
Really glad to hear the course has been useful! I try to answer most questions in comments on my videos, so if you have them as you go, let me know!
great stuff Ken
Thanks for watching!
I just finished my google data analytics professional certification. As someone who only has knowledge in data through excel, chatgpt was very helpful in my studies. I find SQL and R were the most challenging parts of the course, but chatgpt was able to make it easier for me to digest by asking it how the functions and syntax relates to excel and break the topics down into a lot more digestable chunks. I'm currently using GPT4 to expound my ideas into feasible projects to add to my portfolio.
I would also like to add that you have no idea how your videos were super helpful in my data learning journey. Thank you so much Ken!
This is an awesome use case! Also, really glad to hear they were helpful!!
Is the certificate course any good? I’m currently half way through a data science course on Udemy and know the basics in Python, pandas, matplot, seaborn and just starting with scikit library.
So once I start the google course I’ll be well prepared but I think a google professional certificate looks a lot better on your resume than a Udemy course.
Google also offer an advanced one that looks really good 👍
Let me know what you thought. Cheers 👍
@@Mikebigmike94 I would say the certification is so much better than my university education (im from the Philippines, but my entire university was free so there is that). However, this is also the very first online course that i have taken so I can't say for sure how this would compare to other online courses.
It offers a high-level overview of what an entry-level data analyst would need. But just what the only good professor that I had in university and other youtubers in the profession, project based learning and/or learning by doing is a better way of absorbing the knowledge.
I hope this helps. Cheers!!
@@6Mar99 thank you for the reply 👍 so is the course project based? I love project based courses
Thanks for your insights, Ken. Fascinating to see how ChatGPT will influence the fields of Data Science and Bioinformatics. The tool saves a lot of time when coding or summarising text. You also need good domain knowledge to identify when the model hallucinates. ChatGPT often invents functions; you need domain knowledge to sort the good from the bad. I wonder how these models will evolve when more and more online content is generated by them.
Thanks for checking out the video William! I hope things are going well for you!
Exactly 💯 I use ai to do my data visualizations. I only know matplotlib but I leverage ai to change the code using a matplotlib library to plotly!
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These AI tools are some of the best teaching resources ever created. It makes you wonder in the probably not-so-distant future whether it could just outright replace the knowledge jobs that we humans do.
I wouldn’t be surprised, still I think we have some time
Very informative
Thanks for watching!
Im new and doing all of what u said wow! Looks like im going to make it 😆
😀
Really well edited, scripted, and important video for today
Thanks Greg!
Love the video! As a beginner, what would be the best way for me to feed ChatGPT the initial data? Where could I get some mock data from?
I usually get a list of the columns and a description of them and then read them in. You can do some basic python analysis (describing the data, the amount of null values, and the data types of each column). You can get mock data from kaggle.com. I have a project coming out next week where I walk through this!
Awesome video Ken! I was surprised that data sets can be fed to chat GBT as I thought it only takes text as an input. How can I do this??
With the new plugins you can feed them directly in. Before that, I take the names of the columns and the descriptions of them and feed those in as text
Hey Ken! So I am about to complete my undergraduate in computer science, I have adequate knowledge in python and it's libraries and also a good idea on MySQL. I have decided to pick up a specialization for my masters. I'm confused on which one to take. The idea of analyzing and predicting data really intrigues me but however I'm not that great at math overall. But I can do well in statistics though. Do you think it's worth picking up Data Science or should I lean more into Artificial Intelligence as a whole?
Also, I really love your videos and how you keep updating roadmaps constantly as times keep changing. Really appreciate your efforts!
To be honest, I would take whatever interests you most. The things that you do outside of the classroom will be the things that are most interesting to employers (projects, internships, etc.). I would spend the time learning what you think will be the most interesting and practical for your journey. I hope this helps!
@@KenJee_ds Thankyou Ken! I'll try to lean into projects that seem interesting to me. The thing is, I'm finding it quite difficult to build a whole project by myself. I've seen your Data Science project from scratch playlist and realised that I have got so much more to learn. Anyways thank you for the suggestion. Looking forward to more of your videos.
Hey Ken. You're one of my biggest inspirations by far. No really, you got me to read David Goggins' book, same with Dr Sinclair and others (keep those recommendations coming).
I have a request, I totally like this series of "If I could start over" but could you add like... some more philosophical emphasis on why ?
Just imagine for a second a total loser who cannot take anything much less himself seriously for a long enough time frame.
How would that person go about taking proper accountability for their learning especially in these turbulent times ?
Like.... this hypothetical loser (totally not me, I win so much) can't take college too seriously but wants to learn anyways, they need a direction and purpose.
How might you transform that person ?
My questions :
What are concepts and hard lessons you WISHED you could have learned earlier ?
What are your proven methods of success ?
What would be your guide/map that you could hand to a younger self to escape the so called "matrix".
From finances, emotional management, opportunity cost. EVERYTHING !
"The portal is closing, we don't have much time kid. QUICK ! Take this, and stay the course" type of information ?
Thank you for taking your time.
I appreciate all the hardwork.
Really happy to hear that I've been an inspiration to you!
Although I touch on this a good amount on my podcast, I really don't have a lot of structured content on this. Tina Huang's channel has some really good stuff for this in my opinion, so it could be worth checking some of her stuff out. Generally, this is where I stand on it:
I myself was quite lost during highschool and college. C student, no real ambition. All that changed when my cousin who was 22 died of a heart attack. That gave me a lot of perspective. I realized that life could be very short, and that I may only have a limited time to find what I love and make an impact. That really gave me a sense of urgency to make the changes I wanted in my life.
I also recommend reading "Awaken the Giant Within" by Tony Robbins. That book really kickstarted a ton of my personal development after my cousin's death.
I don't know if there really are proven methods of success. The closest thing I can think of is sticking with things long enough to see the return on them, most people quit right before they start to see the benefits of their hard work. This comes in 3 parts (1) Creating an identity - who you want to be (2) Making habits that are in line with that identity (3) Doing things that are in line with who you would like to be and who you believe yourself to be.
If you want to escape "the matrix" it is all about action. Take some form of action, experiment, find what you are good at but also what you are willing to work at harder and longer than other people. Don't be afraid of failure or wasting your time. Those are both the cost of finding what you can excel at. Every time you fail at something, you're getting one step closer to finding what you enjoy and are good at.
Hope this helps!
@@KenJee_ds This truly helps a ton. The fact you really took the time to give a thoughtful reply really means a lot to me. I will save this and ruminate on it properly.
I’ll definitely be getting my hands on this book so far all your recommendations have been a banger.
Great video! Is creating code a premium feature? I have the free subscription and chatgpt told me it couldn't create code
No, it should be free with the current version. Bard also can generate code now too
For the features you talk about in chat gpt, are some of those part of the paid version of it? Thanks (I am someone who uses the free thing or version of it).
Most are available in free, however, the GPT4 kernel is only in paid right now
Someone with no DS/ML knowledge wouldn't know if ChatGPT makes a mistake and how to fix it. A data scientist would.
Try writing drag and drop case. It suck at it now.
Good to know!
Data Science hiring has slowed down. The demand is pretty low. It's not because of layoffs, many people might argue on this. The demand for data engineers is good but it's not same with data science. What are your thoughts on this, the hiring slowdown for data science only @Ken Jee?
This is a really good question. I think that the data domain is becoming more specialized. Roles like data engineering and ML engineering take components of what data scientists do and specialize on them. I think this was bound to happen because the data science title was far to broad. If I was entering the market now, I would try to specialize a bit more in something I was interested in to have the best opportunities!
You recommend 3.5 or upgrade to the GPT-4 via GPT plus or alternate access?
I think GPT-4 via plus is worth the investment. If you can find it for free through an alternative thing, that works too!
Hi Ken! Will you suggest me to transition my career into Data analytics/science despite the impact of AI. Will it be safe job for 10 to 15 years down the line???
Please answer....?????????❤
I recommend learning to use these new tools as quickly as possible! I don't think any job is necessarily safe that long out, however, data probably has a higher probability than most
7:02 What is the name of this platform (website)?
kaggle.com
I love your approach, but I still feel like beginners should be cautious, AI tools are still not the most reliable, and like you said, they tend to hallucinate. Love the video though!
Thank you! I 100% agree with you that they should be cautious, and thanks for bringing it up! I believe experimentation and getting your hands dirty quickly outweighs the risk of misinformation. It is still definitely something they need watch out for, but I feel that the negative impacts of misinformation for beginners are lower relative to advanced practitioners.
Leveraging Ai is good, but.. Ai Jobloss is coming fast. Can we please Cease Ai / GPT? Or start by Pausing Ai before it’s too late?
Unfortunately, I think that pandoras box has been opened and our best bet is to adopt to survive
What certificate is good for eastern Europe beginners in Data Analytics?
Yamede khudasai
A jits dummy! 😂😂😂😂
Lol which one? Me or my “training partner”