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HUMN 4241 - Exploring the Graphic Novel

Description
Regardless of profession, being able to gather, analyze, and visualize high quality data to gain insight into an issue and successfully articulate your findings to key decision-makers makes you a more valuable asset. This course takes a holistic approach to data-driven decision-making by introducing the theory, practice, and ethics of effective project and audience definition; data collection and survey design; data scraping, blending and cleaning; and data analysis and visualization using a variety of software applications. You will leave this course with improved abilities to collect, analyze, and visualize data –and in a way that has integrity and validity and that successfully engages your audience. Prerequisite: Completion of an English Sequence (4 credits)
Credits
4
Attributes
LEC - In-Person Lecture
Recent Professors
Open Seat Checker
Schedule Planner
Recent Semesters
Fall 2022, Fall 2021, Spring 2021
Offered
MW, TuTh
Avg. Class Size
25
Avg. Sections
1