How well do you make decisions? Assessing data and risk is key to how we understand the world and make decisions. You’ll explore making decisions and risk from an evidence-based approach.

About this course

Everyday we make decisions – big and small. But there are lots of ways in which we could make better, more informed decisions. Our biases and preconceptions can lead us to make poor assumptions about the world, and data is often presented in a misleading way.

This course will take you through a case study about bushfire – how do you assess risk in such an uncertain situation? You’ll start to think about how data can be manipulated but also how it can be unpacked to make realistic assumptions... you will explore basic probability and tools such as decision trees to help you make better decisions in your own context.

Finally, you will get the chance to apply and share your own decisions about data.

Course structure

Make decisions with uncertain information and dealing with ignorance
Navigate and evaluate types of evidence and their strengths/weaknesses
Understand the implications of cognitive bias in decision making

Why you should do this course

Learn about the role of uncertainty in decision making, with hands-on exercises and tools
Find out how risk literate you are
Gain practical insights through a case study of bushfire risk
Gain a taster of how we work in the UTS Master of Data and Science Innovation

Who is this course for?

This course is for those who want to become an expert in making data driven decisions, such as:

Marketers
Business Analysts
Sales
Business Development
Data Scientists

Free course

START DATE	Start anytime
MODE	Online
DURATION	Self paced

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Meet the Expert

Dr Kirsty Kitto

Senior Lecturer, UTS Master of Data Science

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. She 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.

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