I've struggled quite much with impostor syndrome at the start of my career, but then I had a workshop in my company about how to deal with impostor syndrome and realised even experienced folks struggle with the thing + when you combine it with the fact that data science is constantly growing and changing, it brings some kind of relief because it's a reminder that there is no specific standard to aim for, and every data scientist will always be a lifelong student. Great video Egor!
Thanks Khouloud! That's great that your company had this workshop, I think more should! It's not a nice feeling, but its nice knowing others experience it :)
Excellent video Egor!, I am really looking forward to that QA video, I have a lot of questions but I guess they won't fit in a single video. Anyway I would like you to talk about the skills required for the different levels (Entry,Junior,Senior) in data science ,and the libraries & tools you need to master for each of those levels. I am sure you are going to reach 5K subscribers soon, wish you the best.
Thanks for sharing Egor. Does this video apply to data analysts? I don't enjoy coding, but I can handle basic Pandas and for loops. I work as a policy analyst dealing with datasets of less than 1 million rows using Power Query and KNIME, but I'm considering transitioning to a more data-focused data analyst role in the future.
Data Analysts are less code heavy than Scientists, and they mainly use SQL. But this is company dependent, so make sure to read the job description! Business Analyst maybe more up your street, as that is normally less code heavy than a Data Analyst.
As a Chemical engineer i am more into data analysis and want fully transition to data science. Need guidance to follow a road map in making myself available for data analysts jobs.
@@engineeringsolutionchemist2433 Hey, I cant speak for data analyst role, but I have several videos on roadmaps to break into data science: th-cam.com/play/PLKmQjl_R9bYfWodECbtJ8yt9bSR6BpoqX.html
I've struggled quite much with impostor syndrome at the start of my career, but then I had a workshop in my company about how to deal with impostor syndrome and realised even experienced folks struggle with the thing + when you combine it with the fact that data science is constantly growing and changing, it brings some kind of relief because it's a reminder that there is no specific standard to aim for, and every data scientist will always be a lifelong student. Great video Egor!
Thanks Khouloud! That's great that your company had this workshop, I think more should! It's not a nice feeling, but its nice knowing others experience it :)
thankyou for sharing! I'm looking for a job in data science and this really sets the picture for me
Glad it was helpful!
Excellent video Egor!, I am really looking forward to that QA video, I have a lot of questions but I guess they won't fit in a single video. Anyway I would like you to talk about the skills required for the different levels (Entry,Junior,Senior) in data science ,and the libraries & tools you need to master for each of those levels. I am sure you are going to reach 5K subscribers soon, wish you the best.
Thank you, I will definitely answer those questions, let me know any others you have!
I like the channel, very informative! I'd love to see a video where you do a whole project from start to finish.
Thank you very much!
why K-WNN not so popular it measures also with coef it is like regression + knn should be best model right
Not sure what you are referring to 😅
@@egorhowell ı asked gpt
Ok, that’s good!
Thanks for sharing Egor. Does this video apply to data analysts? I don't enjoy coding, but I can handle basic Pandas and for loops. I work as a policy analyst dealing with datasets of less than 1 million rows using Power Query and KNIME, but I'm considering transitioning to a more data-focused data analyst role in the future.
Data Analysts are less code heavy than Scientists, and they mainly use SQL. But this is company dependent, so make sure to read the job description!
Business Analyst maybe more up your street, as that is normally less code heavy than a Data Analyst.
As a Chemical engineer i am more into data analysis and want fully transition to data science. Need guidance to follow a road map in making myself available for data analysts jobs.
@@engineeringsolutionchemist2433 Hey, I cant speak for data analyst role, but I have several videos on roadmaps to break into data science: th-cam.com/play/PLKmQjl_R9bYfWodECbtJ8yt9bSR6BpoqX.html
I can do with chtgpt without knowing what I know so why they hire me
I dont understand?
@@egorhowell if chatgpt can do data science why they need data scientist
good question, I guess we will find out in the next decade!
@@egorhowell thanks more than enough
That’s good