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

The module aims at introducing students to the new possibilities opened up by the digital revolution and how these can be translated into the field of global logistics. You will be exposed to several data analytic techniques, including data cleaning, data visualisation, and dashboard report development (in R) with a focus on application to global logistics and sustainability. More specifically the module will cover aspects such as:(i) Introduction to Data Analytics: understanding the big data landscape; (ii) Data Processing; (iii) Data Visualisation: telling a story; (iv) Analytical Techniques: Introduction to Descriptive, Predictive, Prescriptive and Cognitive; (v) Simulation/Network Analysis; (vi) Practical Issues: Dashboard Development

Upon completion of this module you will be able to

LO1: Critically discuss relevant methods, tools, and techniques in data analytics in a business context.

LO2: Develop a critical understanding of the practical limitations of descriptive, predictive, prescriptive, and cognitive analytical techniques.

LO3: Apply practical skills for data analytics in R.

LO4: Critically reflect on the contribution of data analytics for different industry sectors.