Statistical programming, particularly with ‘R’ provides the data scientist with a combination of interactivity and flexibility, visualisation, and access to powerful and efficient analytic tools. This modules introduces the student to the ‘R’ language and its application in data analytics. As well as covering the fundamentals of the language, it’s analytic and visualisation capabilities, the interaction with other programming environments is covered.
*Curricular information is subject to change
Core data structures and key programming constructs of R
Cleaning and organising datasets
Data visualisations
Statistical models
Relational data
Exploratory analysis with R
Learning will occur in a combination of lectures, practical laboratory sessions and tutorials
| Module Content & Assessment | |
|---|---|
| Assessment Breakdown | % |
| Formal Examination | 50 |
| Other Assessment(s) | 50 |