Data Engineering

Catalog description

Instructional Method: Project-based with lectures Prerequisites: Graduate Standing. Cross-Listed: ITEC 440 Project-based learning experience to acquire programming skills to ingest, transform, and explore data. Students gain hands-on experience: (1) building pipelines to collect, process, visualize, and store data, and (2) assessing data quality while exploring, cleaning, and preparing data for analysis, machine learning, and other data science applications. Emphasizes programming techniques for parallel and distributed environments including server clusters and cloud computing.