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Which one is better? Microsoft SQL or MySQL?

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Hi guys, You can find my other python automations here: ruclips.net/video/JgVX6jRfZLQ/видео.html I hope you enjoyed the video. What other Python automations would you want me to build? 🙂

So much to learn👏👏

Whether learning or not, data scientist or not, my goal is always how to get out of the rat race, which means how to save as much as possible as soon as possible such that you can get out and either do what you want to do or relax. Thanks for sharing your journey. As I grow older, I'm more excited Abt nearing retirement and/or death so I can leave this capitalistic world to the new gen 😅

Using terms like 'data scientist' doesn't really help; the majority of IT bods can't even integrate/differentiate. Learn a real discipline, and then move onto IT if that is what you want to do.

I find your advice to be equally applicable to my role as an Excel specialist. There's no end to the learning, which is a positive for me. The most important skill, assuming one has the fundamental technical skills, is people management. Managing expectations will get you further than technical expertise...

Hey Samson, did you double check the code to see whether chatGPT isn't guessing about the location that has the most jobs? It kinda threw me off when UK was at the top and US was not even listed. I was expecting to see US>UK>Germany etc..

I took a paid boot camp and ran it for almost 6months. Afterwards was 3 weeks of Internship, but i got a job offer in an engineering firm, throughout this almost 7 months, i was still learning and learning that long without no pay or result is just not going to fly especially if youre under your parent roof. I took the job, tried running both carrers, eventually had to let DS go but still I watch your videos to keep myself farmiliar with the field.

Mr. Afolabi, sorry for stating the obvious, - you are simply awesome, dude)) The content, the way you present it, the attitude towards your audience, the sincerity. I wish the number of your subscribers skyrockets soon. Best of luck from Russia.

thank you too sir samson

seems you went for dancing rehearsals boss

lol

Man I just found your channel I really like all your content I am on the journey myself ! I thank you for this!

Continuous LEARNING is implicit if you are in the tech field.

This just sounds like any software engineering field. If career learning isn’t for you then don’t even start a tech career. It is life in tech

thank you so much for the massive insights. whats the site to get the andrew ange machine learning course?

Good advice. I struggled initially without understanding how the framework works and I gave up

Hey Samson. Great video!!! can you do a video of what and how a personal portfolio should look like??

The majority of those 100 applicant have no idea of what data science involves

I gained alot, thank you Simi

You are spot on about what skills are needed to excel in a DS job. Its frustrating that most job adverts are 100% tech skills based. As a previous Head of DS what I cared about was attitude more than skills since being able to learn on the job, take the initiative etc were the most important factors in team success, not whether you knew pandas or pytorch off the top of your head (reason I hate most tech tests). Now I am out of a job and looking for a new one I am finding it difficult. Hiring managers care mostly about skills, not experience and I am only 42! I have made a list of courses I am going to do to keep up/refresh. Its never ending.

The key is having the appropriate degree and understanding the theoretical underpinnings of data science. If someone graduated from a boot camp, then they are at the mercy of learning tools or the technology and this is never a position you want to put yourself. If you’re truly serious about being a data scientist, you should have at least bachelors degree in applied statistics or something similar and better a masters degree, once you learn technique and the theoretical underpinnings of the discipline then you become much more resistant to change and it is much quicker to pick up new technologies because you understand how they inherently work .

see you celebrating 1k when days later, you are almost at 2k 🥳🥳🥳🥳

Interesting perspective!

i have done master in computer science and from 5 years as network administrator. i switched to ethical hacking reason is that it keeps me busy all time learning new stuff techniques programming languages. to keep aware from new cyber attacks.every day learning new stuff. it is continuous learning field. when iam unbusy i got bad thoughts which disturb my life.now iam busy with hack the box tryhackme portswigger preparing for ejpt oscp crtp.

Hi Samson do you need a editor as there is a lot of scope in the editing part of the video that i can improve where i can connect with you

Outsatnding points you made!

The best approach is to follow the RUclipsrs who specialize in the tools you choose. So as you regularly watch their videos, you are indirectly being updated on tech as well.

Actually All tech jobs have the same sad realities.

Did you really quit or are you still practicing DS?

Welcome to data engineering. The much more needed profession. Way cooler technologies like kafka spark and much more.

can i you please help me with the coding maybe a guideline

I am a mech engineer and i am always learning say every new problem is a new challenge

It's disappointing how trivial and tedious so much of the work can be. Like you say, Excel ends up dominating in a corporate environment. Stuff that should be done in Python ends up in excel because managers are too low IQ to use Python. If you're getting paid well it can be worthwhile to stick it out in one of these jobs, but better invest wisely so you don't have to do it deep into middle age.

Been looking at your videos and they’re helping me get by. Thanks for your efforts into encouraging the black community 🙏🏿💯

My question is a bootcamp the best way to be a data scientist ?

Yeah that's tech my man. I see a lot of people saying this constant refresh and learning isn't a bug but rather a feature. Yes, sure, definitely when you're in that mode. But life comes at you fast and at some point you need to set aside brain cycles for things other than code, algorithms and constant research. It's nice to be able to rely on a well-crafted skill at some point without continually updating. This gets at the real trap which is if you ever do get comfortable in any way, it's a false comfort that when you wake up from that world (age out, get fired, etc) that what you've been doing is relevant in any way.

Hi guys, Thanks for watching. I would love to hear from you, what other secrets do you have to share that makes Data Science Easy. Don’t Forget to like and Subscribe.😊

How can I connect with you man

Hey sir, Is it advisable study Msc data science in Germany

i wonder if its even a good field to get into becuase of the rise of AI and such

Great work.

but but.. money?

Thank you 🙏❤️

Hey i just felt like doing a little etl in my spare time building data pipelines

Totally unreal expectations from business people. And all they care about are LLM this and that when traditional ML could be much more fruitful

If you can't communicate your findings to non-data oriented colleagues, you have absolutely no business being a DA or DS

Your video has helped understand the path of this tech, you don't have to know the heaven and earth about a particular job before application. I had always skeptical about myself that what did i even know to get job, but still i still did my final year NPL project, help others out in their machine learning project, help master's student work on his water classification algorithm.

My sad experience: I did the analysis of my life using a pipeline I setup from scratch, visuals were beautiful, deck was simple and clear, made code available, extra dashboards and tables available for whoever wanted to dive a bit deeper. No one gave a shit. Mind you, I had done the stakeholder management and had clear requirements which I met. They simply weren't willing to engage because it went beyond an average. Disappointing but also a good learning to always make sure if a little dashboard or table won't do.