Highlights
Learning Outcomes covered in this Assignment:
1. develop sound knowledge of fundamental design principles, methods and techniques appropriate to the data analysis.
2. apply skills and knowledge developed above to the practical design of a data-based product and/or service.
3. Review, critically evaluate, select and enhance appropriate data analytics technologies for use via a smart device browser.
Assignment Brief
Recently, big data, data science, and cloud computing are receiving a lot of attention. It is very important to accurately analyse large amounts of data. R software provides a variety of functions for data analysis. The purpose of this project is to accurately analyse the problems of existing services using R. You will submit the report based on analysis results.
Choice of Service Area
Possible application areas include:-
· Cloud-based data analytics service
· Machine learning and deep learning
· Web and App data provision services
· other IT-based product or service
The data analytics service area needs to be carefully chosen to give a good foundation for the work to be carried out. Projects used in this module or from any other modules, either in this or previous years must not be used. You must discuss your application area with the tutor to make sure that the project area is suitable.
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