The unit is focused on using big data to identify future outcomes and best-assessment of future actions using predictive analytics solutions. Predictive analytics creates a critical competitive advantage for current businesses using data as their most valuable business asset. Using open source environments (R/Python), collaborative development practices and version control (Git/Github) students are exposed to algorithms and machine learning techniques to capture important trends, predict anomalies and forecast business outcomes. The unit is based upon using real-world scenarios and business data. It equips students with solid theoretical foundation of business analytics and builds practical skills. The unit exposes students to industry-based predictive analytics data from Kaggle.
Unit details
Location:
Study level:
Postgraduate
Credit points:
12
Unit code:
BCO6008
Prerequisites
BCO7000 - Business Analytics and Visualisation
Get help
- Visit a student service centre
- 1300 VIC UNI (1300 842 864)
- Visit the glossary
Find a different unit
Learning Outcomes
1. | Critically analyse the use of predictive analytics approaches in decision making for business organisations to deconstruct complex business problems; | ||
2. | Design reproducible predictive analytics solutions using open source environments (R/Python) and implement collaborative development practices and version control (Git/Github); | ||
3. | Evaluate the selection, implementation and business use of predictive analytics solutions using open source environments (R/Python) in regards to statistical rigour and addressing business goals; and, | ||
4. | Advocate the devised predictive analytics solutions to stakeholders and interpret outcomes to inter-disciplinary audiences. |
Assessment
Assessment type | Description | Grade |
---|---|---|
Test | Practical exercises (5%,10%, 10%) | 25% |
Assignment | Data analytics project: a Kaggle style data analysis (data pre-processing, visualisation and model building) | 35% |
Assignment | Group: working with a real-world data set to develop and evaluate a data model - research report (25%) presentation (15%) | 40% |
Where to next?
As part of a course
This unit is studied as part of the following courses. Refer to the course page for information on how to apply for the course.
VU takes care to ensure the accuracy of this unit information, but reserves the right to change or withdraw courses offered at any time. Please check that unit information is current with the Student Contact Centre.