Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Click on an offering mode for more details.

Unit Overview

Description

The recent explosion of available data, together with advances in technology, makes data leverage critical for better business decisions. This unit focuses on three main areas of data reporting: data visualisation, data storytelling/narrative and data presentation/communication. Data visualisation involves converting raw data to an easily understood visual format that is efficient with ink and effective in portraying the messages in the data. Data storytelling or narrative is the ability to provide informative, engaging and impactful explanations of the data analysis that are relevant to the audience. Effective presentation/communication skills are fundamental for combining data visuals and data storytelling. Collectively they offer analytical output in a simple, clear and meaningful way which aids the translation of data to action.

This foundation unit provides key competences to effectively present data and findings to a business audience. Students are able to identify appropriate data visualisations for different types of data, gain practical experience in the use of different sophisticated analytical tools and techniques to visualise and analyse data, and communicate analytical findings efficiently, effectively and in a non-technical way.

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Semester 2UWA (Perth)Face to face
Outcomes

Students are able to (1) identify suitable data visualisations for various data types and sources; (2) produce high quality data visuals (graphs, maps, dashboards, scorecards, interactive visuals) using a range of software packages (such as Tableau, R, Python); (3) critically appraise data visualisations based on principles of graphical excellence; (4) demonstrate effective communication skills (verbal and written); and (5) communicate technical findings to a variety of audiences.

Assessment

Indicative assessments in this unit are as follows: (1) assignment 1; (2) assignment 2; and (3) quizzes. Further information is available in the unit outline.



Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Dr Jason Li
Unit rules
Prerequisites
Enrolment in
42630 Master of Business Analytics
or 41690 Master of Marketing
or 62530 Master of Data Science
or 42270 Graduate Certificate in Business Analytics
Contact hours
Up to three hours per week.
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.