What is the best strategy of learning Python for Data Science for a guy with a non-tech background?

Hi,

I started learning programming (for Data Science) 3 months ago, particularly R later switching to Python.
Everything started from the University where I was doing Econometrics course, applying R programming. The course went great and I decided to enhance my programming skills after completing the exam, however after making a small research I decided to switch from R to Python, as Python is more widely used.

I became a Data Camp premium subscriber and started completing Python courses. I felt like I have already learned basic Python skills for Data Science, installed Python on my computer (working in Jupyter Notebook) and to further broaden my knowledge decided to additionaly search for courses on Youtube. I am also saving all my codes in a Word file to look up in case I forget something.

However, I feel like I need to get my hands on some easy projects and tasks, which are specifically related to Data Scientists, who work in the industries.

I need advice on how to continue learning Python for Data Science, where to find useful exercises and any tips which could help to boost my Python coding productivity and experience:)

Please also share Your personal experience of learning Python if You feel like You've been in similar situation as I am now:)

Thanks a lot, any help or advice would be very much appreciated!