Data science is a cross-disciplinary study involving informatics, machine learning, and statistics. This course adopts a problem driven approach to discuss various components in the pipeline of a data science project and the applications in various real-life examples. Topics include, but not limited to, Python programming, data pre-processing, feature selection, common machine learning algorithms and data visualization.

Course
IERG4320/ESTR4324 – Data Science in Practice
IERG Elective MIEG Elective Undergraduate
Co-requisite(s):
Unit(s):
3
Pre-requisite(s):
Exclusion:
ESTR2540 or ESTR4324 or SEEM2460
Term Offered:
Term 1
Teacher:
Dr. Danny Yip
Remarks: