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Course Module Information
Course Modules
MS5105: Statistical Techniques for Business Analytics
Semester 1 | Credits: 5
The objectives of this course are to build the knowledge and skills required to apply quantitative techniques to analyse business data, and interpret and present results from such analyses. Topics may include: descriptive analysis; visualisation and charting; how to work with various data types and how they relate to statistical tests; how to know what analytical tests to run; how to read data output; how to interpret and report results; business data correlations, regression; t-tests and various analyses of variance methods; factor analysis; parametric and non-parametric analyses; other statistical techniques for business analytics.
(Language of instruction: English)
Learning Outcomes
- Select and apply appropriate charting techniques to complex data
- Apply analytical rubrics based on quantitative data types to identify suitable analytical techniques
- Choose appropriate statistical analyses
- Apply appropriate statistical techniques to analyse quantitative data
- Interpret and present (in written form) results from quantitative analyses
Assessments
- Continuous Assessment (100%)
Teachers
- THOMAS ACTON:
Research Profile |
Email
- MELISSA O'HEA:
Research Profile |
Email
Note: Module offerings and details may be subject to change.