Browse courses to find something that interests you.
This is a free, self-paced online course.
Data pervades almost every aspect of modern day life, but there are lots of ways in which this data can be abused. Our biases and preconceptions can lead us to make poor assumptions about the world - and, there is no such thing as raw data - it needs to be cooked with care.
Data tells many stories - as long as you can learn to listen to it and to ask the right questions of your data.
This course will take you on a journey through a data set. You explore how correct your hidden assumptions are about a real dataset and start to think about how that data might have been collected. You will explore the data, thinking about what types of variables it has and how they are related to one another. Keep your mind open and your curiosity high!
You will need to think about what the patterns you uncover mean, whether they point to a real effect or are just a mistake and how they might be correlated with other patterns in your data.
Finally, you will look at how data is used (and abused!) as evidence when people use it to tell stories.
This course is well suited to professionals wanting to learn about how to use data strategically to tell compelling stories.
Kirsty’s research models the many ways in which humans interact with information and how this can change as a result of context. She is working towards providing unified mathematical and computational models of contextuality, which often results in apparently complex and unpredictable human behaviour. She received an ARC Postdoctoral Fellowship for a Discovery Project investigating this problem.
Kirsty has collaborated on projects with people from a wide range of fields, including physics, experimental psychology, cognitive science, computer science, social psychology, education and computational linguistics.
Evidence and argumentation are increasingly under the spotlight. Simon’s broad background in educational research has led him to focus on how people think about knowledge and evidence and take action in regard to that knowledge. In particular, he has investigated how teachers think about and use data in their practice and how we can support students to navigate complex evidence through technologies.
Simon’s teaching now focuses particularly on quantitative literacy and teaching students to spot where statistical information has been used well, poorly, or omitted where it should not have been. He is the Director of the UTS Centre for Research on Learning in a Technological Society, and lead of the Faculty of Transdisciplinary Innovation research team on Transformative Learning.
Explore new interdisciplinary research and collaborations around emerging technologies and human rights.
An Interdisciplinary Approach to Considering Human Rights within Emerging Technologies.
Explore the statistical essentials you need to tackle evidence-based arguments in the modern world.
Explore how data analytics enables improved NBN workforce planning.
Explore improvements in train network operation performance via machine learning techniques .
Explore a case study investigating the impacts of COVID-19 and Australian bushfires, on our health and wellbeing.