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!
@egorhowell6 ай бұрын
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 :)
@mousquetaire866 ай бұрын
I like the channel, very informative! I'd love to see a video where you do a whole project from start to finish.
@egorhowell6 ай бұрын
Thank you very much!
@Carlos3101236 ай бұрын
thankyou for sharing! I'm looking for a job in data science and this really sets the picture for me
@egorhowell6 ай бұрын
Glad it was helpful!
@IsraRM6 ай бұрын
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.
@egorhowell6 ай бұрын
Thank you, I will definitely answer those questions, let me know any others you have!
@chessfighter-r5g6 ай бұрын
why K-WNN not so popular it measures also with coef it is like regression + knn should be best model right
@egorhowell6 ай бұрын
Not sure what you are referring to 😅
@chessfighter-r5g6 ай бұрын
@@egorhowell ı asked gpt
@egorhowell4 ай бұрын
Ok, that’s good!
@chanzijun52476 ай бұрын
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.
@egorhowell6 ай бұрын
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.
@engineeringsolutionchemist24335 ай бұрын
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.
@egorhowell5 ай бұрын
@@engineeringsolutionchemist2433 Hey, I cant speak for data analyst role, but I have several videos on roadmaps to break into data science: kzbin.info/aero/PLKmQjl_R9bYfWodECbtJ8yt9bSR6BpoqX
@chessfighter-r5g6 ай бұрын
I can do with chtgpt without knowing what I know so why they hire me
@egorhowell6 ай бұрын
I dont understand?
@chessfighter-r5g6 ай бұрын
@@egorhowell if chatgpt can do data science why they need data scientist
@egorhowell6 ай бұрын
good question, I guess we will find out in the next decade!