Course overview
In this course students develop skills in extracting meaning from large unstructured data sets including data wrangling, data integration and fragmentation, unstructured databases: noSQL, document databases and techniques for presenting information such as visualisation.
- Introduction To Unstructured Data
- Unstructured Data Analytics Platforms/Technologies
- Large Unstructured Data Analytics
Course learning outcomes
- Apply the appropriateness of analytic techniques to different data sets
- Compare common data storage architectures and determine when a non-relational database architecture should be used
- Identify types and sources of unstructured data
- Appraise the ethical considerations of data collections
- Develop a business case for effective use of large unstructured data to achieve a business objective
Degree list
The following degrees include this course