ETC1010 - Data modelling and computing - 2019

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.


Business and Economics

Organisational Unit

Department of Econometrics and Business Statistics

Chief examiner(s)

Professor Dianne Cook


Professor Dianne Cook

Unit guides



  • First semester 2019 (On-campus)
  • Second semester 2019 (On-campus)


ETC1000 or equivalent.




Introduction to principles and techniques for modelling actuarial, business and economic data. Concepts and practice in taking "data from the wild", reading different formats, tidying, and wrangling it into shape for analysis. Building models and making useful visualisations to achieve effective data-driven decision-making. Learn how to find data to solve problems. Build oral and written communication skills. Hands-on learning, with some team work projects.


The learning goals associated with this unit are to:

  1. learn to read different data formats, learn about tidy data and wrangling techniques
  2. apply effective visualisation and modelling to understand relationships between variables, and make decisions with data
  3. develop communication skills using reproducible reporting.


Within semester assessment: 50% + Examination: 50%

Workload requirements

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. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

See also Unit timetable information