DATA251

Active

Data visualization is a powerful tool for understanding and communicating patterns in quantitative information to a variety of audiences. Introduces the use of programming languages like R or Python to create aesthetic and ethical visualizations that communicate a clear message to intended audiences. Students also have the opportunity to critique existing data visualizations. Course topics include visualization theory, color theory, chart selection, and storytelling with data.

CEA: ProgCLA-CEA and Au Pair, EMBU: Major-Business Elective, EMCS: Major-Computer Sci Elective, EMFI: Major-Finance Elective, ENCA: Minor-Creative Arts Elective, ENDA: Minor-Data Science Elective, ENDH: Minor-Digital Hum Elective, ENST: Minor-Statistics Elective, MBUS: Major-Business, MCOS: Major-Computer Science, MFIN: Major-Finance, MMAR: Major-Marketing, MSTA: Major-Statistics, NCAT: Minor-Creative Arts/Technology, NDAT: Minor-Data Science, NDHM: Minor-Digital Humanities, NSTA: Minor-Statistics