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Module SSI3003 for 2020/1
Undergraduate Module Descriptor
SSI3003: Data Analysis in Social Science 3
This module descriptor refers to the 2020/1 academic year.
Overview
| NQF Level | 6 | ||
|---|---|---|---|
| Credits | 15 | ECTS Value | 7.5 |
| Term(s) and duration | This module ran during term 2 (11 weeks) | ||
| Academic staff | Dr Alexey Bessudnov (Convenor) | ||
| Pre-requisites | SSI1006 (POL/SOC1041) and SSI2005 (POL/SOC2077) | ||
| Co-requisites | SSI2005 (POL/SOC2077) if not taken before | ||
| 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 in particular the tidyverse framework. 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.
SSI1006 (POL/SOC1041) and SSI2005 (POL/SOC2077) are the pre-requisites for this module.
| Module created | 11/12/2019 | Last revised | 17/12/2019 |
|---|
