The aims of this micro-credential is to equip enrollees with the skills and confidence to operate in the world of ‘big data.’ The micro-credential will take a social science perspective and to discuss the role of social science and theory in analysing and interpreting ‘big data.’ The micro-credential will not be technical, but rather use key examples of ‘big data’ being used to inform policy to help motivate and engage with the issues. Enrollees will become familiar with some of the technological options and constraints in the storage and analysis of ‘big data’.
Topics
Introduction to data linkage
Analysis of linked and transactional data
Combining linked and survey data
Learning outcomes
Upon successful completion, enrollees will have the knowledge and skills to:
Explain the key concepts of data linkage
Outline the strengths and weaknesses of existing administrative datasets from an analysis or policy perspective
Identify the appropriate analytical technique for analysis of linked or administrative data
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.
Por favor, consulte a la institución
To be confirmed
The Australian National University
Acton Campus,
ACTON,
Australian Capital Territory,
2601, CANBERRA, Australia
Completion of ANU Micro-credential Data Analysis and Interpretation (or equivalent).
This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.
Puede haber diferentes requisitos de IELTS en función del curso elegido.
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