I am new to data science and I would like to go deep into it.
I decided to start working with advanced competitions on kaggle, yet I should refine my knowledge in python and ML.
I took a coirse on Udemy about ML with python. As I am already a programmer, I know most of the basics, I just need to familiarise with the script and how its written in python.
I am desperate for a help from someone, who can help me with if I should take the
Python for everyone or simply just dig in directly into
Applies data science with Python from University of Michigan.
I know sometimes I struggle writing a code with python but with a basic google search I can find an answer or figure out one of my own.
I know that I can skip lots of weeks on coursera as I already knows the basics. But still confused.