There are no pre-requisites for this module to be added

The aim of this module is to enable you to develop a deep understanding of the fundamentals of data analytics, and to give you opportunities to practise a set of popular data analytical tools. Topics covered include:*Data Pre-processing – data quality, data cleaning, data preparation*Data Analytics – techniques of analysing data, such as classification, association, clustering and visualisation, including a variety of machine learning methods that are widely used in data mining* Post processing – data visualisation, interpretation, evaluationThis module will use tools such as OpenRefine, Weka and Tableau for standard and structured data The Benchmark Statement for Computing specifies the range of skills and knowledge that should be incorporated in computing courses. This module encompasses cognitive skills in Computational Thinking, Modelling and Methods and Tools and practical skills in deployment and use of tools and critical evaluation in addition to providing useful generic skills for employment.

Upon completion of this module you will be able to

LO1: Critically understand the concepts and process of data analytics.

LO2: Critically evaluate methods/techniques in data analytics.

LO3: Apply data analytics algorithms to datasets to conduct data analysis and visualisation, by using data analytical tools.

LO4: Critically interpret and evaluate results generated by analytical techniques.

LO5: Investigate current research topics in data analytics.