CS 3580 - Data Science Algorithms

Credits: (4)
Typically taught:
Spring [Full Sem]

This course introduces students to the data management, storage and manipulation tools common in data science and has students apply those tools to real scenarios. Topics include, but are not limited to, the following: data reduction, scalable algorithms, modern distributed solutions, data visualization, applied statistical models, prediction algorithms, and forecasting. Prerequisite: MATH 1040 or QUAN 2600 and at least 60 hours of completed credits.

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