Excellent video!! I like the fact that it was communicated in a procedure and / or steps manner. That way you can really see the research, planning,and conclusion to implementation thought out.
i GUESS YOUR VIDEO IS SO UNDERRATED. I LOVE UR VIDEOS, JUST NOW SAW FEW OF THEM AND I KNOW THIS CHANNEL BY TODAY ONLY. I'M YOUR NEW SUBSCRIBER!!!!!!!!!
Hey Vinit! Thanks so much for enjoying the video! Truth be told, if you are at the beginning, you need to learn much of the same skills as a data analyst and data scientist. Simply start by laying a strong foundation with Statistics and Probability. Then learn some SQL. After that pick up a coding language that will help you analyze data. Once you have done that you can start working on data sets and engage with real-world examples that will help you do the kind of tasks that will be useful when you get hired by a company.
I've recently learned PostgreSQL and PgAdmin - Should I learn python or R next - and what math courses would suggest to start the career path into the data sector. Ideally the goal is to end up as a data scientist. @@365DataScience
So basically a data scientist has to be a jack of all trades and also a master of it all ( or something close to that) ? I mean being a genius is one thing , but realistically you have to be a super-genius to even handle this type of job.
It sounds like you have to be a genius, but you really don't. As you can see in the video - at the beginning it is about applying quick fixes to your product based on data exploration and hypothesis testing. More complex methods are needed only after you have performed significant optimizations.
No way. There are lots of data scientist (most self acclaimed) use certain libraries in Python or R for all scenarios they deal with. I've worked with many and believe me they are not that smart.
Hello, thanks for reaching out! Considering your solid understanding of math you will be able to understand many frameworks easily. We advise you to 1) Start with an Introduction to the world of data science 2) Learn/refresh statistics concepts 3) Learn SQL and start practical exercises in SQL 4) Start to code in Python 5) Use SQL and Python to solve data visualization projects 6) Learn A/B testing 7) Learn linear and logistic regression and some fundamental ML concepts 8) Learn other ML algorithms and create projects 9) Learn data strategy and how data science helps businesses create value. Hope this is helpful!
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I will be a data scientist
So what happened bro? Did you become a data scientist?
That was such a good explanation. I love the content of this channel. You guys rock!
Excellent video!! I like the fact that it was communicated in a procedure and / or steps manner. That way you can really see the research, planning,and conclusion to implementation thought out.
Hey Connie! Glad you like it. Thanks for your positive and encouraging feedback too!
EXCELLENT VIDEO THANK YOU
This was really helpful. I couldn't find much videos like this explaining what do they really do. Love from Sri Lanka!
Deep and simplified Explanation..👍🏻👍🏻
Thanks!! Much appreciated!
One of the best videos i have ever seen with this much clarity.
Thanks so much! Please tell CZcams they should show our videos more often!
Nice video, im from Coahuila and this was very well explained, thanks !!
i GUESS YOUR VIDEO IS SO UNDERRATED. I LOVE UR VIDEOS, JUST NOW SAW FEW OF THEM AND I KNOW THIS CHANNEL BY TODAY ONLY. I'M YOUR NEW SUBSCRIBER!!!!!!!!!
Great explanation!
Really impressed, and motivated to be an expert in data science field
Thanks so much!! Good luck on your journey!
Great job!!! Thanks packing up everything so clear.
Yes, absolutely! Thanks so much for checking out the video! We'll continue with this series then. Which data profession should we cover next?
@@365DataScience why don't you try for data engineer
@@himanshupatil2951 We just might:) Thanks for the suggestion!
You guys are amazing! This video explanation is just wow
Thanks so much, Eriston! We appreciate it. What video would you like to see next?
Again great content 👌👌
Can you tell please if one should go with Data Scientist or Data Analysis
Hey Vinit! Thanks so much for enjoying the video! Truth be told, if you are at the beginning, you need to learn much of the same skills as a data analyst and data scientist. Simply start by laying a strong foundation with Statistics and Probability. Then learn some SQL. After that pick up a coding language that will help you analyze data. Once you have done that you can start working on data sets and engage with real-world examples that will help you do the kind of tasks that will be useful when you get hired by a company.
I've recently learned PostgreSQL and PgAdmin - Should I learn python or R next - and what math courses would suggest to start the career path into the data sector. Ideally the goal is to end up as a data scientist. @@365DataScience
Simple and best way to understand this
So basically a data scientist has to be a jack of all trades and also a master of it all ( or something close to that) ?
I mean being a genius is one thing , but realistically you have to be a super-genius to even handle this type of job.
It sounds like you have to be a genius, but you really don't. As you can see in the video - at the beginning it is about applying quick fixes to your product based on data exploration and hypothesis testing. More complex methods are needed only after you have performed significant optimizations.
@@365DataScience
Oh, I see. Makes a lot of sense. Thanks for the response 🙏🏿
No way. There are lots of data scientist (most self acclaimed) use certain libraries in Python or R for all scenarios they deal with. I've worked with many and believe me they are not that smart.
I was thinking the same thing.
Actually I'm a bsc maths graduate and what are the steps to become a data scientist after bsc maths?
Hello, thanks for reaching out! Considering your solid understanding of math you will be able to understand many frameworks easily. We advise you to 1) Start with an Introduction to the world of data science 2) Learn/refresh statistics concepts 3) Learn SQL and start practical exercises in SQL 4) Start to code in Python 5) Use SQL and Python to solve data visualization projects 6) Learn A/B testing 7) Learn linear and logistic regression and some fundamental ML concepts 8) Learn other ML algorithms and create projects 9) Learn data strategy and how data science helps businesses create value. Hope this is helpful!
hello, I want to become a data science
Beauty ❤
WOW
I will be a data scientist