Quantitative analysis and data modelling

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.