CSC 191 – Special Topics: Data Visualization (3 credit hours)

Topics in computer science that are not covered in regular courses or that give special practice in skills used in other courses. Not to be counted toward the bachelor of science in computer science. May be repeated for up to 6 hours if the topic changes.

Students will learn the fundamentals of data visualization software, its applications and limitations, and potential security risks. Starting from data cleaning to the ETL (extract, transform, load) procedure to data visualization, students will learn the complete pipeline for conducting business intelligence (BI) and producing polished reports and dashboards. Additionally, students will gain exposure to various BI software tools, such as Power BI, Tableau, and Google Data Studio. While students learn the value of these tools, emphasis on their limitations and differences will also be taught. There will be discussions on best practices for maintaining secure applications, as well as on the ethics of data visualization. The main assignment for the course will be a final project in which students build a dashboard from scratch by completing each step of the pipeline, and culminate in a presentation of their final BI solution.

First Session Course:

• MW, 10:50AM-12:30PM, Online – Synchronous & Asynchronous, Parsons