Data Science Lifecycle

Catalog description

An overview of the data science lifecycle, including data collection, cleaning, exploration, analysis, and visualization. Students learn the methodologies and tools used throughout the lifecycle and apply them to real-world data science projects. Lecture Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: N- Normal (A, B, C, D, F) College Restrictions: School of Computer and Cyber Sciences Program Restrictions: BS in Data Science Schedule Type (Primary): Lecture Schedule Type (Additional): Asynchronous Instruction Click here for the Schedule of Classes.