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This course will introduce students to the truthful art of visualizing data. The students will use an iterative design process to create visualizations that are truthful, functional, beautiful, insightful and enlightening. The lectures will consist of presentations, critiques, in-class exercises and discussions. This course will enable students to select appropriate visualization methods for their data and solve practical data science communication problems. They will consider the context and the indented reader to focus the story their data will tell. The students will learn to use the Tableau software, which will be made available for their own computers within the framework of this course. The course will provide a supportive environment in which students can experiment with the aesthetics of data visualization. Students will need to be familiar with basic data manipulation principles and the process of data gathering and cleaning.
Subject to approval of the Head of Department of Mathematics and Statistics.
By default there will be a no-screens policy during the lectures. This means that you are not allowed to open your laptop or use your mobile device. For specific tasks the students will be asked to use their laptop computer to complete in lectures tasks. During the lab hours the students are encouraged to bring their devices to work on their assignments.
All submissions for assignments will be done trough Learn and must be completed before the deadlines setup in Learn.
Domestic fee $1,247.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Mathematics and Statistics .