1) If you have a Gmail account you can launch notebooks via Google Colab for free and store in your Google drive.
2) You can join Kaggle and do the same thing full environment lots of data, and you don't have to join a competition if you just want to create a notebook and mess around.
3) I'm not sure why you chose WinPython. You can download Python for windows right from the python website.
3) If you are on windows 10 you can install Linux subsystem from the Windows store. Makes it a lot easier if you have a Linux background.
4) Pycharm has the ability to install python and setup venv, virtual environments and is a first class python IDE.
So in summary,
My suggestion is since you are just getting started skip the hassle of learning to install locally. Instead use Google Colab or Kaggle as your playground. You can upload datasets, install any packages you want and it is Jupyter/iPython so visually easier to work with when learning/debugging.
I spent a lot of free time on learning how to setup GPU, CUDA on my local machine. A lot of reinstalls and tutorials a few years back. I could have spent it coding on Google Colab or Kaggle. Similar to what you are going through I know the feeling of just wanting to dive in, and these platforms are better entry points for non power users. Plus if you are unsure uncomfortable on how to install locally there are some security concerns by not using things like Docker, virtual environments, etc. to protect yourself from some rogue 3rd party packages.