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Data Science - COMP257

This unit introduces students to the fundamental techniques and tools of data science, such as the graphical display of data, predictive models, evaluation methodologies, regression, classification and clustering. The unit provides practical experience applying these methods using industry-standard software tools to real-world data sets. Students who have completed this unit will be able to identify which data science methods are most appropriate for a real-world data set, apply these methods to the data set, and interpret the results of the analysis they have performed.

Credit Points: 3
When Offered:

S2 Day - Session 2, North Ryde, Day

Staff Contact(s): Associate Professor Steve Cassidy

COMP125 and ISYS114 and (STAT170 or STAT171)  Prerequisite Information


Unit Designation(s):

Information Technology


Unit Type:
Assessed As: Graded
Offered By:

Department of Computing

Faculty of Science and Engineering

Course structures, including unit offerings, are subject to change.
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