DA (DA)

Courses

DA 210. Introduction to Data Analytics. 3 Hours.

This course provides an overview of data acquisition, management, preparation, visualization, analysis, and modeling. A data analytics project is part of the course. Prerequisite(s): IT 261.

DA 310. Data Exploration & Visualization. 3 Hours.

Modern visualization techniques involve static and interactive approaches as well as figures the dynamically update. This course will discuss how visual information is perceived, how to create effective visualizations, and what dangers exist with data visualization and how to avoid them. Students will design and create summaries and visualizations to transform data into information in a variety of context and complete a visualization project. Prerequisite(s): DA 210.

DA 449. Data Analytics Internship. 3 Hours.

This course offers experiences in a work and/or research environment collecting, processing, analyzing, and/or interpreting data. Each student chooses and contacts a partner institution (business, research lab, nonprofit, or governmental agency) to serve a total of 100 hours in that setting. Activities will include training/orientation, work on projects relevant to the mission of the institution, observation of institutional work processes, and other assigned work by the site liaison. Students keep daily journals and meet weekly during the semester for training and to share their experiences. Prerequisite(s): Major=BS Data Analytics and ( College Level=Junior or College Level=Senior).

DA 489. Data Analytics Capstone. 6 Hours.

This course serves as the capstone project for data analytics majors in the School of Science & Humanities. The course provides experiential learning relevant to the student’s area of study. During the course, students will meet periodically with their faculty advisor to plan their progress through the project. At the end of the semester, students will present the final results of their research or a summary of their experience in the form of a final oral presentation and a written thesis. Prerequisite(s): Major=BS Data Analytics and ( College Level=Junior or College Level=Senior).