Introduction to Data Science Programming. 3.0 Credits. Class-2.0. Clinical-0.0. Lab-3.0. Work-0.0

Catalog description

This course covers the key technologies used to manipulate, store and analyze big data. Topics include scripting languages, noSQL databases, database scalability, performance metrics and tuning. Upon completion, students should be able to use programming techniques to investigate data sets and algorithms.