Big Data Computing Foundations II

Catalog description

Working professionals must be able to locate and scrape data sources, create workflows that ingest and clean data, extract useful information for exploration and visualization and use that information to address work-related challenges. Enrollees gain proficiency in identifying, sourcing, manipulating, and interpreting data. Second course in a two-semester sequence focusing on the Python and Spark. Prereq: 5621, and enrollment in the Translational Data Analytics program.