VCE Applied Computing: Data Analytics

## The four stages The problem-solving methodology is the method VCE Applied Computing uses for building any digital solution, and in Data Analytics the solution is a set of data visualisations that answers a question with data. It has four stages, and each stage has its own activities. | Stage | What it settles | Typical activities in Data Analytics | |---|---|---| | Analysis | What is required to solve the problem | Acquiring and analysing data, then identifying the solution requirements, constraints and scope | | Design | How the solution will work and look | Generating ideas, choosing a preferred design, planning the data, and writing the criteria the finished solution will be judged against | | Development | Turning requirements and designs into a working solution | Manipulating data, validating it, testing, and correcting errors | | Evaluation | How well the solution met its requirements | Planning an evaluation strategy, then judging the solution against the criteria | The stages can be run once, one after the other, or repeated in small cycles as in agile development, where a piece of the solution is analysed, designed, built and evaluated before the next piece is started. In either case the stages feed each other: the requirements found in analysis decide the designs, the designs decide what is built and the criteria written during design are the ones used in evaluation. ### Skills that sit under each stage Analysis depends on collecting data to find out what users…