Handbook

Data visualisation and communication is increasingly important as a complement to the study of analytics. The ability to present visual access to the huge amounts of data that business or government creates is an essential skill for any analyst. The creation of easily digestible visuals graphics are often the simplest and most powerful tool to enable communication of insights gained from data. 

This course will introduce statistical and visualisation tools for the exploratory analysis of data. Students will learn what makes an effective data visualisation and how to create interactive data visualisations. Visualisation in R, Tableau and other tools including cutting-edge graphical, immersive techniques will be used.There will be a strong focus on developing the skill of data storytelling: where students will learn to combine data, visualise it and develop a narrative to create a powerful story to drive change.

NOTE: Assumed knowledge - A level of knowledge equivalent to a first-year undergraduate basic statistics course is assumed. Students without such knowledge are advised to complete an appropriate self-assessment of university statistics knowledge before the commencement of their first term and complete a Stats bridging course where appropriate.