DA 304 - Python for Data Analytics

This course includes data analysis techniques using the Python programming language. That includes knowing how to import data, explore data, analyze data, learn from data, visualize data, and ultimately generate shareable reports. This course also introduces you to machine leaning, a powerful area of data analysis. This course introduces a collection of powerful, open-source tools including Python, Jupyter notebooks, pandas, and matplotlib. Semester Credit Hours 3.00 semester credit hours Contact Hours: 60.00. Prerequisite: IS 122 Programming Logic. Corequisite: None