ETX2250/ETF5922: An Introduction to Data Visualisation
This unit uses data visualisation to explore and analyse data sets of all sizes, and it introduces some business analytic models for interpretation and prediction.
Learning outcomes
- Critically evaluate the quality of a data visualisation using the principles of graphical excellence
- Successfully create high-quality data visualisations for a given dataset using software, such as Power BI or R.
- Develop the skills to effectively use data visualisations to communicate insights to an audience
- Develop the skills to effectively use data visualisations to communicate in the appropriate medium, report writing, in presentations and digital storytelling.
- Apply advanced topics in data visualisation, such as using interactivity and animation to enhance communication.
Teachers
- Kate Saunders - Chief Examiner
- Krisanat Anukarnsakulchularp - Instructor
- Bets Ruscoe - Instructor
- Javad Vahdat Atashgah - Instructor
Weekly schedule
- 3 hour workshop, Monday - Wednesday - Friday, 9am-12pm each week
Consultation
- Monday - Wednesday - Friday, 1pm-3pm each week
Week | Date | Topic | Tutorial | Solution |
---|---|---|---|---|
1 | 18 Nov | Introduction to Data Visualisation | ||
2 | 20 Nov | The Good, the Bad and the Ugly of Data Visualisation | ||
3 | 22 Nov | Visualisations in Power BI | ||
4 | 25 Nov | Visualisations in R: Part 1 | ||
5 | 27 Nov | Data Wrangling | ||
6 | 29 Nov | Visualisations in R: Part 2 | ||
7 | 02 Dec | Exploratory Data Visualisation | ||
8 | 04 Dec | Visual Communication and Storytelling | ||
9 | 06 Dec | Guest Lecture: James Goldie on Visual Storytelling | ||
10 | 09 Dec | Advanced Topics: Uncertainty and Missingness(TBC) | ||
11 | 11 Dec | Advanced Topics: Animation and Interactivity | ||
12 | 13 Dec | Revision |