Data Visualization with Python

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Overview

Course Date:

TBA

Registration Period:

TBA

Duration/Frequency:

16 Hours

Mode of Training:

Face-to-Face (Classroom Teaching), Practical Training

Course Objective

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.

Overview

Course Date:

Registration Period:

Duration/Frequency:

Mode of Training:

Course Objective

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