Data Handling and Visualisation II

Undergraduate | 2026

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Mode icon
Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
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Area/Catalogue
INFO 2012
Course ID icon
Course ID
200477
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Campus
Adelaide City Campus East
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course owner
Course owner
Mathematical Sciences
Course level icon
Course level
2
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

This course covers the basics of how large data sets are managed to extract meaningful information. Concepts of data storage and access are developed in a hands-on learning environment. Visualisation of large data sets allows us to understand subtle patterns that are not otherwise obvious. The course will use Python as its core programming environment using real example data sets drawn from a variety of different disciplines.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A