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Exploratory Data Analysis and Visualisation G (11517.1)

Level: Graduate Level
Credit Points: 3
HECS Bands: 2
Faculty: Faculty of Science and Technology
Discipline: Academic Program Area - Technology

Availability

Syllabus

Data and its analysis and modelling underpin all aspects of work and society in the 21st century. This unit provides students with a thorough study exploratory data analysis and visualisation techniques. Exploratory Data Analysis is an approach to data analysis that employs a variety of techniques, mostly graphical. The main role of this approach is to open-mindedly explore the data. Visualisation enables the data to reveal its structural secrets and provide new insight into the data. Exploratory Data Analysis allows the data scientist to discover patterns, to spot anomalies, to test hypothesis and to check assumptions with the help of summary statistics and graphical representations. This unit will provide hands-on experience in data visualisation and summary statistics using real-world data examples.

This unit will be co-taught with 11374 Exploratory Data Analysis and Visualisation.

Learning Outcomes

After successful completion of this unit, students will be able to:

1. Choose and apply the most suitable techniques for exploratory data analysis;

2. Map out the hidden underlying structure of the data;

3. Detect anomalies and missing data; and

4. Demonstrate strong skills in using visualisation techniques for analysis and communication.

Contact Hours

Four hours of problem-based learning activities, interactive workshops and practical work in laboratory classes on campus per week.

Prerequisites

None.

Corequisites

None.

Assumed Knowledge

Working knowledge of discrete mathematics, algebra and numerical analysis.

Incompatible Units

11374 Exploratory Data Analysis and Visualisation

Equivalent Units

None.


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