6 points, SCA Band 2, 0.125 EFTSL
Undergraduate - Unit
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
- First semester 2019 (On-campus)
- Second semester 2019 (On-campus)
The information technology revolution has led to the overwhelming availability of data and information. Businesses and other organisations that make good use of the available data are at an advantage, and therefore individuals with business analytical skills are highly sought after. Data collection and analysis techniques are collectively called business analytics. Experts in business analytics play an important role in modern business. In addition, everyone in a business-related job needs to be able to understand statistical discussion of issues, and most need to be able to use descriptive analytics and visualisation in reports and presentations. This introductory unit will enable students to perform basic descriptive analytics and inference on data.
The learning goals associated with this unit are to:
- interpret business data using descriptive analytics techniques, including the use of spreadsheet functions and well-written data commentaries
- apply simple concepts of probability and probability distributions to problems in business decision-making
- describe the role of statistical inference and apply inference methods to single population means
- evaluate relationships between variables for business decision-making, using the concept of correlation, simple and multiple linear regression
- apply time series techniques in determining seasonality, forecasting and interpreting the results.
Within semester assessment: 40% + Examination: 60%
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. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
See also Unit timetable information