IS 460 - Data Visualization

(3.00 cr.)

Investigates the processing and cleaning of real-world datasets and their appropriate representation in visual form. Data resides in a multitude of databases and formats and comes in a variety of forms such as structured, semi-structured, and unstructured. Making data understandable to non-technical users requires knowledge of the best techniques for presenting data to aid in its interpretation. This course is focused on the use of data visualization techniques in software applications such as Tableau™, Python, and R.

Prerequisite: CS 485 or IS 353 ; or written permission of the department chair.
Sessions Typically Offered: Fall/Spring/Summer
Years Typically Offered: Annually

Interdisciplinary Studies: DS