DSC 385
Data Exploration, Visualization, and Foundations of Unsupervised Learning
Examine visualization techniques used in practice to discover insights about data. Explore data quality and relevance, data ethics and providence, clustering, dimension reduction, and reproducibility. The equivalent of three lecture hours a week for one semester.
Prerequisites & course information
Examine visualization techniques used in practice to discover insights about data. Explore data quality and relevance, data ethics and providence, clustering, dimension reduction, and reproducibility. The equivalent of three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027