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SDSC2001 - Python for Data Science

Offering Academic Unit
School of Data Science
Credit Units
4
Course Duration
One Semester
Pre-requisite(s)
CS2311/CS2315 Computer programming / CS1315 Introduction to Computer Programming and SDSC1001 Introduction to Data Science

* Pre-requisite SDSC1001 will be exempted for students who are enrolled in Minor in Data Science
Course Offering Term*:
Semester A 2023/24

* The offering term is subject to change without prior notice
 
Course Aims

This course provides students with an extensive exposure to the use of Python specifically for data science. Topics include Python language fundamentals, data analysis using Python libraries, applied machine learning and text mining in Python, and the practice of scientific computing. The students will acquire hands-on experience using Python and the popular packages related to data manipulation, processing and analysis, with the minimal backgrounds of theories in methodology aspects. The students are required to be able to independently develop Python codes from scratch in professional way for elementary algorithms in data sciences.


Assessment (Indicative only, please check the detailed course information)
Continuous Assessment: 50%
Examination: 50%
Examination Duration: 2 hours
Note: To pass the course, apart from obtaining a minimum of 40% in the overall mark, a student must also obtain a minimum mark of 30% in both continuous assessment and examination components.
 
Detailed Course Information
SDSC2001.pdf