5 Must have Data Science Skills (you will need these)

These are the basic skills you need for data science.

Data Science Learning Platforms I would recommend

2 Recommended Python Courses

Data Science Interview Preparation

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It was Drew Conway who devised the Data Science Venn Diagram

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#datascience #python #machinelearning

[BM-ufpp]

Most companies don't expect unicorns unless you work at a FANG company or some place like that. They look for a strengths in 2 of those bubbles, especially in a team comprised of members with strengths that compliment yours. Domain knowledge over time is mandatory. If you don't know the business, industry or your customers, there is no way you can solve business problems or predict business outcomes. The engineering and mathematical bubbles are rarely both required, at least in full. Strength in one of them usually suffices at most places because you have others to compliment you in the other bubble. This is my experience and opinion as a senior data analyst working with data scientists on a regular basis. Others may view it differently.

[techTFQ]

I really like your style of video making these days.. looks like you are experimenting and if so, it’s really working well I guess..

Very different from other YouTubers but also very effective..
Thank you for posting useful video’s..
Look forward to many more..

[juanpablofarfan]

A few months ago I started watching your videos because of the content ... now, your videos are match better with that amazing landscape! Many thanks!!

[behrad]

Thank you, Also beautiful landscape animal & music!, It's a package😃

[abuazfaar]

Just enjoying the nature as well as doing what you do best.

[haigmouchian]

It's like us chemical engineers: we know more about mechanics than a chemist, and more about chemistry than a mechanical engineer.

Just don't ask us much details about those 2 fields... cause actually we don't know sh*t about either one!

[Trazynn]

There's a whole strata of knowledge you need on top of that venn diagram. Like Crisp-DM, understanding Collected vs Exhaust data and the gradient between them, data becomes it's own science, and it's still very infantile compared to where it could lead us.

[Julitoube]

When I started watching your videos, loved them because of the content... now, I like them even more, with that landscape!

[damianrudling]

Dont forget that they should also know about business and strategy. No point asking the wrong questions and finding solutions that mean nothing to the business and does not assist strategy for decision making.

[MatheusSouza-hyfm]

You’re great at explaining whatever the topic is mate!

[lawrenlelko]

Cut out the low frequency in post. Wow, that made my amp fan spin up.

[cmatiolli]

Your tips are amazing. They are helping me a lot. I can tune my learning by getting an actual view on the skills needed and how to approach learning pace and depth. Unfortunately I already did a Python intro course. Otherwise, yours would be my choice now.

[mp]

To have the answer you need the corect question. I was discussing this today. Amazing view :)

[giuseppenativo]

Hi. It's two years that I am following your channel and i really like it. Your approach is very original or personal and difficult concepts become simple explanations.
Walking in the nature meanwhile explaining reminds me the ancient method of the Greek gymnasiums.
Thank you for your work.
Please, forgive my curiosity. Do you mind telling me which jacket are you wearing in this video?
It's very beautiful. Thank you.

[lux.]

Sir, can you make a video about Data Engineer ? thank you so much !! stay healthy!

[arcticflame]

The videos that you post are very interesting and filled with lots of information.
It would be very helpful for me if you could suggest a few of the top universities that offer masters program in data science

[MrTecphdb]

Giles thanks for producer this great videos

[TeamUpWithAI]

I wonder what kind of projects I could build for DataScience Portfolio. I have experience with R; Python, Statistics; doing research altogether, but that seems to be good enough for Data Analyst not for Data Science. I took Harvard's CS but that isn't much of a practical knowledge although you have to complete projects there. I wonder how I could close the gap

[gabrielros]

interesting video. can you go into a role of an ML engineer how is it different from DS ?

[redsmith]

I think that list is the basics of every normal software engineer.