Policy professionals often need to analyse data as well as interpret and evaluate the impact of a policy. Data analysis skills are essential, but a practitioner can easily get lost in a maze of jargon, techniques, philosophies, and choices of computer software. This course is designed to provide the knowledge and skills to confidently work with data and make evidence-based decisions. It is also a place for participants to be exposed to practical and modern tools with mathematics kept to a minimum. The course will focus on examples and the practicalities of the Australian and international environment. Come armed with questions and learn through interactive exercises to confidently interpret and analyse the data that you use in your day-to-day work.
Participants will start with fundamental concepts in data analysis and statistics and move up to working with real-life examples in computers. There are no formal prerequisites, though prior experience with Microsoft Excel will help move faster. Participants will practice data summary skill, making inference from data, looking for numerical evidence as well as analyzing their robustness. The course also discusses how to use available data to evaluate policy impacts and support decision-making process.
This course is designed to give non-statisticians the necessary knowledge and skills to confidently work with data and come up with evidence-based decisions. It is also an avenue for people who have some ideas about statistics from classrooms or simply those who are not utilizing it for a while, to expose themselves to practical and modern statistical tools that are available around them. Mathematics will be kept to a minimum and the course will focus on examples and the practicalities of the Australian and international statistical environment. Come armed with questions and learn through interactive exercises to interpret and analyze with confidence the data that you use in your day-to-day work.
Dr Long Chu
Long Chu is a senior lecturer at the Crawford School of Public Policy (ANU). He specialises in quantitative methods in applied economics, especially creating models to support policy making and evaluation processes in Australia, Asia and the Pacific. Long has extensive teaching experience in Australia and abroad. At ANU, he has been teaching several Masters/PhD courses such as Mathematical Methods in Applied Economics, Applied Economic Dynamics, and Masters Microeconomics. Long is the recipient of a number of awards and honours, including the prestigious Eureka Prize in Australian science.