Earning Criteria

• This earner’s identification was verified using Jumio, automated online ID verification. During the course, the earner was an enrolled Deakin University student with the rights, responsibilities, access to resources and scrutiny of academic integrity required by this educational institution.
• The earner passed a formal assessment of 2000 word report of forecasting analysis and business decisions.
• Successfully completed this online course with learning activities and formal assessment typically requiring 50-75 hours.
• This microcredential provides the earner with bankable credit (0.5 credit points) towards one or more specified post graduate degrees (award course) at Deakin University. The credit is redeemed on successful application to study the degree.
• Learning outcomes:
• Recognise forecasting opportunities and potential benefits in various business and economics contexts
• Identify level, trend, seasonality, and error components of a time series and distinguish between additive and multiplicative forecasting models
• Differentiate popular forecasting models based on simple/ double/ triple exponential smoothing techniques and carry out their comparative performance evaluation
• Propose and evaluate practical solutions for a given business and economics forecasting problem using a state-of-the-art cloud-based technology platform