Survey Data Analysis – Intermediate


Level of study: Career Based/Vocational

The aims of this micro-credential is to equip enrollees with the skills and knowledge to extend their survey data analysis experience beyond that which is taught in Data Analysis and Interpretation.
Interaction terms and non-linear models for continuous variables
Analysing non-linear dependent variables
Analysing multi-level datasets
Cluster and factor analysis
Learning outcomes
Upon successful completion, enrollees will have the knowledge and skills to:
Explain the key concepts of survey data analysis
Outline the strengths and weaknesses of existing datasets from an analysis perspective
Identify the appropriate analytical technique for complex data analysis
Discuss some of the main assumptions underlying different techniques
Design or critique an analysis plan
Micro-credential stack information
This micro-credential may be undertaken as part of a stack by completing Data Analysis and Interpretation.

Key Information
Visa Information
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