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Unit of study_
SSPS6006: Data Analytics for Social Research
2024 unit information
Social science research abounds with data of different nature, sources, and forms. In many situations, available data can be summarised and analysed quantitatively to identify trends, uncover patterns, or test hypotheses. This unit presents fundamental ideas behind modern data analytics and provides students with hands-on experience of analysing social science data. First, we cover data manipulation, data cleaning, and basic visualisation. We will then move on to the methods of exploratory data analysis and finding patterns in data. The unit will conclude with an introduction to statistical inference, linear regression analysis and its limitations for causal analysis.
Unit details and rules
Managing faculty or University school:
Arts and Social Sciences
| Study level | Postgraduate |
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| Academic unit | Government and International Relations |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. Find, clean, and analyse data from diverse sources.
- LO2. Produce meaningful data visualisations and reports.
- LO3. Demonstrate understanding of statistical concepts to address social science research problems.
- LO4. Use professional tools for data analysis such as R and RStudio.
- LO5. Demonstrate understanding of how to use data and data analytics in social research design.
Unit availability
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Modes of attendance (MoA)
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