ETM5950 · Data analytics for business

Overview

This unit lays a solid foundation in data analytics, tailored for a career in business management. It recognises that most management decisions are made under uncertain conditions, necessitating analytical frameworks for leveraging data as a strategic asset to create a competitive advantage. You will engage with real-world business issues and applications, learning to apply suitable statistical methods for business analytics using various computer software. These methods encompass descriptive, predictive, and prescriptive analytics. By presenting the content from a managerial perspective, this unit aims to cultivate a managerial mindset focused on making decisions based on analytical insights. The guided learning approach of this unit is designed to help you connect theory with practice, enabling you to effectively visualise, analyse, and communicate insights derived from data visualisation and analysis.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. compare different sources, types, and structures of business data
2. analyse business trends and patterns using descriptive analytics methods
3. evaluate relationships in business data and develop predictive models using analytics techniques
4. formulate and communicate data-driven recommendations to support informed business decisions.

Workload

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.

Student experience, not official rules. Nothing here changes what the Handbook says.