If you want to learn how to better present your data and tell a compelling story with it, then this course is for you. Companies and people spend huge amounts of time creating and then trying to share data.
If you want to learn how to better present your data and tell a compelling story with it, then this course is for you.
Companies and people spend huge amounts of time creating and then trying to share data. Being able to tell a story around your data is an important skill, providing insights and informing better decision-making.
In this course, you will learn about the seven principles of data visualisation and storytelling. This course is software agnostic, meaning that you can apply these techniques to data from any analytics tool. Then, whatever software you use to tell your story can be told more simply, understood more easily and used to greater effect.
As part of the course you are welcome to bring your own examples. This course is about design thinking and is not reliant on any pre-course knowledge, or exposure to specialist data tools or programming language.
Aims
The course aims to work through and teach seven principles of data visualisation. We will then workshop your own examples and put your learning into practice.
Outcomes
By the end of this course, you should be able to:
recount the seven principles of data visualisation
apply the seven principles to a number of different settings
practice the principles in a class environment
look at any presentation of information or data, and interpret the common language to be able to critique and think about it.
Content
In this course, you will learn the seven principles of data visualisation:
Trigger rapid processing
Maximising data-ink ratio
Providing focus
Facilitating comparisons
Maximising content
Removing ambiguity
Storytelling without deception
Intended Audience
Anyone who looks at or prepares packs of information or presentations.
Prerequisites
None
Delivery Mode
Face-to-face, presenter-taught course
Delivery Style
Mixed lecture style including Q&A, class discussion and example practice
End of day activity where you can apply the learning to improve the impact on your own presentations
Before The Course
This course is about design thinking and is not reliant on any pre-course knowledge or exposure to specialist data tools or programming language. As such, you don’t need to bring a laptop.
However you may want to bring along examples of your own data, e.g., reports that your organisation’s leadership team uses. If any information is commercially sensitive, dummy numbers can be used and/or identifying information removed.
Course Format
In the normal course structure, we will:
explain the benefits of visualisation
provide you with a common language / vocabulary to discuss visualisation within your team
work through planned examples; and finally
apply the learnings in a facilitated free form sharing session. This is where you can work on your organisations visualisations and the facilitator can try to assist you.
Parts 1-3 will take anywhere between 3.5-4.5 hours and Part 4 is a free form session.
With Part 4 in mind, participants are welcome to send the facilitator examples of what you want to discuss, in order that it can potentially be used within the slides, or have it ready to put on screen for the final session (if appropriate).
This is a public course, so you may wish to use dummy (albeit realistic) data in your presentation and bring printed examples that are stripped of any identifying branding etc.
If you wish to learn English at the University of Sydney, consider enrolling in an English course with CET. CET contributes to the University of Sydney's efforts to support international students through the provision of preparatory English language courses.
Our English teachers are highly qualified above and beyond the stringent standards of the Tertiary Education Quality and Standards Agency (TEQSA). CET is a fully accredited English school.
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