Applied analytics

Understanding data for insights is an essential prerequisite for driving competitive advantage in this digital era. This unit will cover key concepts and skills in open data management, advanced visualization, statistical machine learning, and the analytical life cycle of an analytical research project. You will learn essential data and statistical methods to leverage data as a strategic asset for better decisions and recommendations. By applying analytics in a research project, you will be able to use open data responsibly, visualize trends and patterns, interpret and predict outcomes, and finally, communicate results and insights to stakeholders in the global environment.

Problem-based learning - This unit includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.

Active learning - This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.

Research activities - This unit allows you to develop your research skills by engaging in structured inquiry using a systematic approach and discipline-specific methodologies.

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.