Learning Outcomes of this Assessment A1 - Critically assess diverse issues regarding the use of data mining and machine learning in real-world contexts, including ethics; B1 - Design, build and use business intelligence systems, justifying decisions made; B2 - Design and create reports to present analytical and interpretative information in creative and effective ways; B3 - Devise strategies for making effective use of analytical software such as SAS Enterprise Miner. B4 - Learn about different algorithms, such as classification and clustering. Key Skills to be Assessed Diverse issues regarding the use of data mining techniques to real-world datasets Discover patterns within a dataset using exploratory data analysis Use of SAS for data mining Discover techniques to leverage R's features, and work with packages Reporting and presentation of analytical and interpretative information The Assessment Task Overview This coursework will give you the opportunity to use the techniques covered in this module to organise and analyse a collection of data that interests you and to draw conclusions based on your analysis and finally to present your results in the form of a report. 1 Date on which brief was given to students 2 Date by which assessment is to be submitted