ADS 3864A/B
DATA VISUALIZATION AND MACHINE LEARNING
Statistical programming in a high-level language, data visualization design principles, extracting insights from data visualization, data mining and machine learning, data classification; visualization of multivariate, time-series, and hierarchical data.
Prerequisites & course information
Prerequisite(s): 0.5 course from Analytics and Decision Sciences 2288F/G or Statistics 2864A/B; and 1.0 course from Economics 2122A/B, Economics 2222A/B, Economics 2123A/B, Economics 2223A/B or Analytics and Decision Sciences 2036A/B, Statistical Sciences 2035, Statistical Sciences 2857A/B, Statistical Sciences 2858A/B ; or by permission of the School of Management, Economics, and Mathematics. Extra Information: 3 lecture hours, 2 lab hours. Course Weight: 0.50
Sources
- Course catalogue ↗2026-2027