Organisations use their data for decision support and to build data-intensive products and services. The collection of skills required by organisations to support these functions has been grouped under the term Data Science. This subject will articulate the expected output of data scientists and then equip students with the ability to deliver against these expectations. A particular focus will be given to the tools required to model, store, clean, manipulate, and ultimately extract information out of stored data. In addition, an introduction to designing and using relational database management systems (RDBMS) will be given. The concepts covered include data modelling using entity relationship modelling, implementing and using the relational model, SQL, normalisation, and integrity constraints.
|Faculty||Bond Business School|
|Study abroad||Available to Study Abroad students|
1. Recognise data structures, differentiate between structured and unstructured data and understand system design for different data types.
2. Manipulate and model data and evaluate the implications of these models on business applications in finance, supply chains, marketing and consumer behaviour.
3. Apply basic coding language and various tools of data retrieval and manipulation to real-world problems.
No Prior Knowledge Required