FIT5213 Advanced data analytics case study

When you finish this unit, you should be able to:

1. 1

   Critically analyse a business problem and translate it into a data science problem via interrogation of business stakeholders, with the purpose of ascertaining the underlying business realities and validity of the translation;

2. 2

   Determine, in conjunction with business stakeholders, agreed methods of evaluation of solutions to-be-derived for the business problem, and critically assess them for their quality, practicality and difficulty of implementation;

3. 3

   Critically evaluate available data for its sufficiency for the investigation of a given data science problem, and supplement it with external data where appropriate;

4. 4

   Apply, in an industry standard setting, studied skills of data wrangling, data integration, imputation, model building, validation and optimisation, selecting the most appropriate tool for every situation, in order to derive a satisfactory solution to the business problem;

5. 5

   Demonstrate discernment and judgement in effective two-way communication to all stakeholders/audiences, including for communicating the final problem solution, recommendations for its implementation, its projected impact on the business, and any insights derived as part of the project;

6. 6

   Operate effectively as a member of a data analytics team, such as by effective intra-team communication, task assignment, progress communication and overall goal alignment.