Data analysis is changing. New sources of data in a wide range of formats contain valuable information, but extracting this information is often challenging using traditional tools. This module introduces modern techniques for mining such data and demonstrates how they may be put into action. Methods for handling structured and unstructured data are discussed, including techniques for the analysis of textual data.
Having successfully completed this module you will be able to:
Having successfully completed this module you will be able to:
Having successfully completed this module you will be able to:
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
This module will cover:
Depending on feasibility, teaching may be delivered face to face intensively over a week, or online using a mixture of synchronous and asynchronous online methods, which may include lectures, discussion boards, workshop activities, exercises, and videos. A range of resources will also be provided for further self-directed study.
| Type | Hours |
|---|---|
| Independent Study | 73 |
| Teaching | 27 |
| Total study time | 100 |
Toby Segaran (2007). Programming Collective Intelligence. Sebastopol, US: O'Reilly.
Han, Jiawei; Kamber, Micheline; Pei, Jian (2012). Data Mining. Waltham, MA, USA: Elsevier.
100% Coursework
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Assignment | 100% |
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Assignment | 100% |
Repeat type: Internal & External