5 courses with the subject DSC, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
DSC 305Data Visualization3
This course introduces students to the principles and practices of data visualization, focusing on the effective communication of complex information through visual 3 means. Students will explore various visualization techniques and tools, learning to design and create interactive and static visualizations that highlight key l insights and trends in data. Emphasis will be placed on understanding the audience, selecting appropriate visualization methods, and utilizing software tools such as Tableau, Python (with libraries like Matplotlib and Seaborn), and R (using ggplot2). Prerequisite: BUS 341. Offered every Spring semester.
3–6 This course equips students with foundational skills in data analysis and programming, emphasizing practical applications in real-world scenarios. This course covers Dean College Academic Catalog 2025–2026
This course will introduce various machine learning algorithms used in predictive data analytics. Topics include: multiple regression, decision trees, random forest, neural networks, and clustering algorithms. Students will create predictive models using a programming language. Prerequisite: DSC 311. Offered every Fall semester.
This course will provide an opportunity for students to work on a data science project using real data. Students will work on all stages of a typical data science project including importing data, cleaning, exploring, visualizing, analyzing, creating models, and communicating results of the analysis in written and verbal form. Prerequisites: DSC 305, DSC 311, DSC 324, DSC 442. Offered every Spring semester.
