Statistical Computing with Python

4.0 credits

This course will explore core statistical programming components using Python. The main topics to be covered include the basics of Python and setting up a Python environment (Anaconda, Jupyter Notebooks); importing, exporting, and organizing data using Pandas; visualizing data and computing descriptive and inferential statistics; other programming elements (functions, control statements, loops and iteration), and simulation structures.