This module will provide the skills in data analytics, including the preparation of data, data handling, formulating precise questions, and using tools from statistics and data mining.
Pre-requisite modules
Co-requisite modules
- None
Prohibited combinations
- None
Occurrence | Teaching period |
---|---|
A | Online Teaching Period 1 2022-23 |
This module will provide the skills in data analytics, including the preparation of data, data handling, formulating precise questions, and using tools from statistics and data mining to address those questions. The module will also cover the privacy aspects of big data and the techniques to mitigate these risks.
By the end of this module you should be able to:
Create a data set using modern database models and technology,
Manipulate a data set to extract statistics and features,
Critically evaluate and apply data mining techniques/tools to build a classifier or regression model, and predict values for new examples,
Analyse and communicate issues with scaling up to large data sets, and use appropriate techniques to scale up the computation,
Critically discuss the need for privacy, identify privacy risks in releasing information, and use design techniques to mediate these risks.
Task | Length | % of module mark |
---|---|---|
Essay/coursework Report |
N/A | 100 |
None
Reassessment will occur within 6 weeks.
Task | Length | % of module mark |
---|---|---|
Essay/coursework Report |
N/A | 100 |
Feedback will be provided in line with University policy.