Hi all Analytics folks,
I need your help, suggestion and whatever you can in python project in data analytics. I have a couple of doubts in it.
I'm a data analyst having 2 year of experience while i know python but never worked in it. I used SAS and SQL. I'm giving interviews since couple of months and I'm realizing interviewers aren't so happy from the project i did in my company, it's sort of reconciliation ane validation.
Can't it be done without using ML or I'll have to use ML algos and core stats in building portfolio project.
Note: pls help your buddy 🙏🙏
Try building with the a lot of resources online on YouTube for free. If not you can join a data science course. They will guide you in making several relevant projects in python as well as frameworks like scikit, web scraping, tensor flow etc.
I have already searched youtube blogs and everything, couldn't find much. There are youtube videos n tutorials. Either they have very basic python tutorials or they are using ML algos.
And I'm confused now what should be the approach.
So I'm asking.. can't we make projects without including ML algos.
Check tutorials on Kaggle or join paid courses, geeksforgeeks course is good if you don't have budget, if you have then try Odin school or Great learning or Scaler.
Start with Kaggle. It’s a gold mine.
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