Undergraduate LTU-CSE2DV-2023
Data Visualization
$1,037 $0
Your upfront cost: $0
Duration
12 weeks
Study method
100% Online
Available loans
- HECS-HELP
- FEE-HELP
Assessments
Subjects may require attendance
Prior study
Not required
Start dates
- 31 Jul 2023
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QS Ranking 2023
20
Times Higher Education Ranking 2023
16
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Subject details
Write code to clean and format data in preparation for data visualisation.
Design appropriate and effective visualisations that help users gain deep insight into complex the data sets.
Create interactive data visualisations for all users to effectively explore the data.
Generate informative reports using data visualisations.
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- • Working with data: From discovery to visualisation.
- • Choosing appropriate techniques for data visualisation.
- • Creating data visualisations with Tableau.
- • Creating data visualisations with Python.
- • Information design.
No eligibility requirements
Additional requirements
No additional requirements
The ability to visualise data is one of the most useful forms of data analysis and data presentation. Data visualisation provides an accessible way to see and understand trends, outliers and patterns in data. Nowadays there are many different tools for collecting and querying data. In order to gain full benefit from the collected data we need to visualise the data. In this subject you will learn the following: how to prepare data for visualisation; the design principals for creating effective data visualisations; and how to communicate your data analysis using reports containing data visualisations. You will learn how to use state of the art software tools for generating insightful and interactive data visualisations.
- Programming assignment 1 (1000 words equivalent) (25%)
- Programming assignment 2 (1000 words equivalent) (25%)
- End of semester examination (2000 words equivalent) (50%)
For textbook details check your university's handbook, website or learning management system (LMS).