Module SSI2007 for 2022/3
Undergraduate Module Descriptor
SSI2007: Data Analysis in Social Science 3
This module descriptor refers to the 2022/3 academic year.
Overview
| NQF Level | 5 | ||
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| Credits | 15 | ECTS Value | 7.5 |
| Term(s) and duration | This module will run during term 1 (11 weeks) | ||
| Academic staff | Dr Alexey Bessudnov (Convenor) | ||
| Pre-requisites | SSI1005 and SSI1006 | ||
| Co-requisites | None | ||
| Available via distance learning | No | ||
Basic knowledge of statistics and data analysis is often not enough for dealing with more complicated problems in the social sciences, as well as in market research, applied policy analysis, and data-driven journalism. This module introduces you to more advanced techniques for social data analysis using the statistical programming language R and the tidyverse framework (or alternatively Python and pandas). These techniques are especially useful while working with large and “messy” data sets. While some statistical theory is covered in this module, the discussion of statistical concepts is generally non-mathematical and intuitive and is based on numerous examples from social sciences. The module assumes familiarity with basic descriptive statistics and linear regression analysis.
| Module created | 30/03/2016 | Last revised | 06/10/2022 |
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