Data Science kinda never ends so, the best way to test your self is to do a real world project and to really replicate that.
like try to do some projects that already done and from there you can continue to the next phase.

that gives you some confidence

And BTW @Robi_mez you could have told me that the dark mode has export option that is also dark mode 😂️️
just discovered that now....
what were you doing when i am sending Questions in light mode 😭️️️️️️

I kinda talked about this in the Podcast.
so the main reason people feel like that is they dont start small and they start from the biggest thing.
like seriously Research is all good but if you can't do the basics you can't even understand what you are reading, so maybe chill out and start small... and grow from there....

Well its not understanding the deep statistical analysis that is crazy, converting those into certain algorithms and trying to test those implementation is the hardest part...
The easiest thing to do is to convert those easy and simple stat models into algorithms and from there go to the complex ones later on

there are a lot so i can't say 😂️️

ABSOLUTELY NOOOOOOO

i dont know how to emphasize on that part, like seriously.

even more almost all things are serioysly free at this time.

the only thing that would cost was Compute and now Google collab give you TPUs 🤩
you dont need anything else.

It highly depends on the individual learning curves, i see some people mastering it in like 3 years and some like 6 months...
it trully depends on you

But i would say 6 month with full dedication is comfortable enough to get started on Projects.

... i didn't say you will start working...

No matter how automated it is, how complex the agentic Ai is and process are autonomic...
unless Ai figure out what type of data it needs to get what type of results.
we are all good

One thing that makes the data feild is that it is seriously evolving with the ai and tools and automations.
the automations came bec of the problems faced, not just to replace you...

For anyone doing DS or learning and wanting to join the work field i always want you ALWAYS to test your self by doing real-world projects and check your capabilities...
if there are too many things you didn't know maybe cover more and come back at it

Something for you guys to consider,

have you seen people use Ai responses to train Ai models???
Literaly All Ai providers manually curate the data to create more accuracy and quality outputs...

if you train 85% accurate ai generated response to AI it self back again...
then what the heck did the ai learn then...


Where is the Machine Learning happening then 🤷‍♂️

NONE so far
Infact, I dont even dont have my degree paper not even the demo 😂

well one thing i can surely say is that there is a huge need of data professional more than the Job postions psoted each year...

i would say that when you come more into the NLP CV and fine-tunning LLMs you definetly need that

yeah it can help, but i wouldn't get a stat degree for just data science feild.

i honestly dont think web and data are related by any means.
i am not sure if its practical to study both.
Try to choose one and master one of them well

You can check the roadmap i have in here...
its pinned

As a data Scientist we have to backup what we are saying with data so about the projections we have for data roles
Let the numbers talk

You can check more in here