IS 301: Python for Data Analytics
Course Description
The course is intended for students with little or no programming experience. It aims to provide foundational knowledge of the Python programming language and its use in the preparation of data for analysis. Python coverage will include data types and data structures, branching and iteration, functions, scripts, modules, libraries, parameter passing, and simple visualization. Using Python, students will learn to execute common data preparation strategies to acquire, clean, transform, and prepare data for analysis. Prerequisites: (Admitted to the School of Business) OR (30 credits and 2.2 GPA).