3 credit hour(s) Topics include Python for basic statistics, the NumPy module for manipulation of array-based data, Pandas for manipulation of heterogeneous and labeled data, Matplotlib for publication-quality visualizations, and IPython for interactive execution and sharing of code. Students will use Anaconda and Jupyter Notebooks software. Contact: 3 hours.
Prerequisites: COP1000