DIGA650 Advanced Data Engineering and Visualization (3 cr.)

Prerequisite(s): DIGA620  or equivalent or consent or program director
This course utilizes scripting languages to ingest and transform relational, non-relational, unstructured, and streaming data sources into actionable data formats. The purpose and design of data lakes and data warehouses are covered, and students select and implement appropriate data visualization strategies including dashboards and techniques specific to big data.

Upon completion of this course, students are expected to be able to do the following:

1. Design data repositories to enable the analysis needed for effective decision-making.
2. Implement automated workflows for transforming structured and unstructured data into actionable formats.
3. Apply visualization strategies to facilitate data exploration and synthesis.