Python and Analytics Systems Technology

Catalog description

Presents a selection of analytics systems technologies that are deployed in lab sessions throughout the course. A multitude of analytics systems technologies are used for different purposes to describe data numerically and graphically, for data visualization, file systems (HFS) for a large data mart, applications of structured query language, and filtering and transforming to ingest the data through scripting languages. Focused primarily on Python, topics covered include the differences between R and Python, data ingestion, data manipulation, visualization, and predictive analytics using common Python libraries.