CPSC 4810: Transformations for Data Analytics

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Course Format Lecture 3.0 h + Seminar 0.0 h + Lab. 3.0 h
Credits 4.0

Course Description

Data analysts need to integrate heterogeneous data from a variety of sources and in a variety of formats to provide workable homogeneous data sets for further analysis or processing. Students write programs using a scripting language to extract, transform, merge, and clean data to generate datasets that can be loaded into an appropriate analysis or visualization tool.

Registration in this course is restricted to students admitted to the Post-Degree Diploma in Data Analytics.

Prerequisite(s): A minimum of a "C" grade in CPSC 4800.

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