Once you understand NumPy, you've got more than half the foundation of Python data work under your belt. In this tutorial you've learned array creation, attributes, indexing, slicing, arithmetic, ufuncs, aggregation, broadcasting, reshaping, linear algebra, random data, and worked through a mini project.
Next Steps
Don't stop at just reading the code. Take each lesson's example, change the numbers, change the shapes, predict the output before you run it, then actually run it and check. That kind of practice is what actually makes NumPy stick.