Data Science Practicum

Credit Hours: 
4

Advanced data science techniques for analyzing large-scale data in distributed environments. Students will develop scalable algorithms in frameworks such as Spark and Flink. This course is team-based, involving several mini-projects over the course of the semester with a competition as the final project.

Prerequisites:

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Level: