LEO5311 · Quantitative analysis and data modelling

Overview

Quantitative data analysis lies at the centre of the data analytics cycle - the critical stage when data is transformed into findings and insights. This unit introduces the use of Microsoft Excel for statistical analysis and basic modelling methods. While covering a broad range of quantitative methods, it provides specific instruction on the use of confidence intervals, linear regression, and causality analysis to generate findings that can inform decisions across a wide range of applications. Examples from marketing, economics, accounting and related disciplines are included as a foundation for students to design and execute their own application of quantitative data analysis.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. perform descriptive and inferential statistical analysis of business data and draw useful insights
2. construct linear models for predictive analysis and conduct causality analysis to support data-driven decision making
3. demonstrate advanced understanding in the identification of which statistical analyses and tools are most appropriate to support specific decisions.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

Student experience, not official rules. Nothing here changes what the Handbook says.