Overview
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Course Date:
8 Oct 2026 to 9 Oct 2026
10 Dec 2026 to 11 Dec 2026
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Registration Period:
8 Aug 2026 to 17 Sep 2026
10 Oct 2026 to 19 Nov 2026
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Duration/Frequency:
14 hours | 9am to 5pm
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Mode of Training:
Classroom
*Please note that once the maximum class size is reached, the online registration will be closed.
You may register your interest and be notified if there is a new run.
What You Will Learn
The course aims to introduce participants to the data analytic and visualization workflow. Pandas and Seaborn will be used to perform statistical and visual analysis of data and incorporated into a Jupyter notebook. The course will emphasise on the skills needed in processing and understanding big data through visual analysis, the importance of reproducible research and communication and collaboration within data analytics teams.
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