Python for Data Processing

Catalog description

The course uses the Jupyter notebook and IPython shell for exploratory computing. Students will work with essential libraries like NumPy and data analysis tools in the Pandas library, create informative visualizations with Matplotlib, and learn basics of Seaborn, and SciPy to perform data manipulation and cleaning. Some real-world data analysis problems with thorough, detailed examples are presented.