Not necessarily a learning resource, but I'd like to plug the Anaconda distribution of Python. https://www.continuum.io/ It includes most of the commonly-used libraries/packages in data analytics, so at ASU I made all my students download it just to start from. Three things it gives you right out of the box are iPython (a better Python shell), Spyder (the Python version of RStudio), and Jupyter Notebooks.

For learning, I'd recommend taking something like Janert's "Data Analysis with Open Source Tools" and go through chapter-by-chapter trying to figure out how to implement the various analyses in Python. That book in particular uses a different technology every chapter for its tutorial exercises, so ignore those. But the exposition of the concepts is fantastic.