Line chart and bar graph under magnifying glass

Develop essential quantitative analysis and interpretation skills 

This course is designed to provide participants with the essential skills to analyse and interpret quantitative (numeric) social data. Participants will develop an understanding of the appropriate statistical techniques to use for different types of research questions and different types of data and importantly how to make inferences and interpret results.

Topics covered

  • Understanding and testing for statistical significance
  • Assessing relationships using Chi square, t-tests, ANOVA, and correlation
  • Introduction to linear and logistic regression models
  • Data visualisation

Learning objectives

  • Understand why and how to test for statistical significance
  • Know the appropriate statistical tests to use in different situations and with different types of data
  • Read & interpret the results of statistical tests and output from popular statistical packages
  • Critically review the use of statistics in reports and published papers

Who is this course for

People who need to analyse numeric social data or those who need to read and understand research conducted by others. This course covers some introductory topics, but mainly focuses on intermediate statistical techniques. It is recommended for people who are familiar with the basics of statistical analysis, who want to deepen their understanding of statistical analysis. The course can also be a refresher for people who need to consolidate their statistical knowledge before progressing to more advanced methods.

Course dates

Monday, 25 October - Wednesday, 27 October 2021, 9am - 5pm

For Custom and Group courses (10 participants or more) - Email us to discuss

Fees (incl. GST)

$1,778 - Early Bird discount (book and pay one month out)
$2,145 - After Early Bird discount expires
$1,716 - Groups (3 or more, price per person)
$1,500 - UQ Students
$1,609 - Students (other than UQ)
(Fees include course materials and full-day catering)

By registering to attend this course you are agreeing to our terms and conditions.


Dr Azhar PotiaDr Azhar Potia is a behavioural, experimental and applied economist with a keen interest in addressing issues of societal disadvantage and inequality. He especially seeks opportunities to explore real-world problems in the field of education and matters relating to Australia’s Aboriginal and Torres Strait Islander population. Azhar has a strong understanding of, and experience in using, empirical research methods to evaluate programs and administrative data. He has developed an extensive aptitude for designing and implementing experimental studies in field and lab settings alike, as well as using sound econometric analysis techniques to evaluate the outcomes of such experiments. Azhar completed his PhD from the Queensland University of Technology in 2019, and his research was aimed at assessing the framing effects of different incentive structures and student commitments on educational outcomes of Indigenous Australian high school students.

Prior to his PhD work, Azhar spent an extended period living and working in remote Indigenous communities on Queensland’s Cape York where he designed and implemented financial literacy programs for the benefit of socially-disadvantaged residents. This experience was a key driving factor in his decision to study and address real world issues. Azhar is particularly passionate about bridging the gap between academic research and industry. For a social organisation working on matters affecting disadvantaged people in the real world, incorporating a strategic research component into their work is crucial in his eyes and he strives to develop such collaborative links and networks.

Ms Nikita SharmaMs Nikita Sharma is a PhD student at UQ’s Institute for Social Science Research. Prior to enrolling in a higher degree by research program at The University of Queensland, she completed her Bachelor’s (with Honours) and postgraduate coursework in Economics. Nikita has developed strong quantitative research skills from her academic training and research experience in industry, academia and not-for-profit organisations. For her PhD, Nikita aims to examine the labour-market outcomes of different migrant groups in Australia using longitudinal data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey.

UQ's Institute for Social Science Research, Cycad Building, 80 Meiers Road, Indooroopilly, Brisbane, Australia