SDSC2004 - Data Visualization

Offering Academic Unit
School of Data Science
Credit Units
Course Duration
One Semester
Equivalent Course(s)
Course Offering Term*:
Semester B 2021/22
Semester B 2022/23 (Tentative)

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

Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines or bars) contained in graphics. The capability to interpret data in a visual way has become an essential skill. Effective visualization helps users analyze and reason about data and evidence. It makes complex data more accessible, understandable and usable. This course introduces practical methods and tools to visualize data to communicate complex information clearly and efficiently. Students will learn how to present, visualize, and communicate data in various forms clearly and concisely. The ideas and principles in both aesthetic form and functionality will be emphasized.

The one mainstream data visualization tool will be covered in this class such as: Tableau, Qlikeview, Power BI, d3.js, Gephi, Weka, etc. The visualization in this course is mainly static graphics. The format of animation or video for data visualization is a plus, but only optional.   

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 70%
Examination: 30%
Examination Duration: 2 hours
Detailed Course Information


Useful Links

School of Data Science