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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.
Code | SSPS6006 |
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Academic unit | Government and International Relations |
Credit points | 6 |
Prerequisites:
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None |
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Corequisites:
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None |
Prohibitions:
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None |
The learning outcomes for this unit will be available two weeks before the first day of teaching.
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