Overview
Business and economic data are collected over time against a backdrop of a changing environment. This unit introduces data wrangling and exploratory data analysis for such temporal context data. You will learn how to analyse, model and forecast time series data in diverse applications. Methods to be covered include the … For more content click the Read More button below.
Offerings
S1-01-CLAYTON-BLENDED
Requisites
Prerequisite
Prohibition
Rules
Enrolment Rule
Contacts
Chief Examiner(s)
Professor Rob Hyndman
Learning outcomes
On successful completion of this unit, you should be able to:
1.
provide an understanding of common statistical methods used in business and economic forecasting
2.
develop computer skills for forecasting business and economics time series data
3.
provide insights into the problems of implementing and operating large scale forecasting systems.
Teaching approach
Active learning
Problem-based learning
Case-based teaching
Assessment
1 - Within semester assessment
2 - Examination
Scheduled and non-scheduled teaching activities
Seminars
Tutorials
Workshops
Workload requirements
Workload
Learning resources
Required resources
Technology resources
Other unit costs
Costs are indicative and subject to change.
Electronics, calculators and tools: $100