Predictive Analytics
UndergraduateGRF-AFE3302025
Course information for 2025 intake
Enrol today with instant approval and no entry requirements
- Study method
- 100% online
- Assessments
- 100% online
- Enrol by
- 6 July 2025
- Entry requirements
- No ATAR needed, No prior study
- Duration
- 13 weeks
- Start dates
- 14 July 2025
- Price from
- $578
- Upfront cost
- $0
- Loan available
- HECS-HELP and FEE-HELP available
Predictive Analytics
About this subject
After successfully completing this subject you should be able to:
- Manage and describe data effectively.
- Apply up-to-date computer software tools for data analysis/analytics.
- Employ predictive modelling techniques for data analysis.
- Utilise various types of data (numerical, categorical, text, time series, etc.) for business decision-making.
- Getting started with predictive modelling
- Data Management
- Data Exploration
- Clustering
- Linear Regression
- Classification
- Model Validation
- Trees and Random Forests
- Neural Networks
- Forecasting Time Series (I)
- Forecasting Time Series (II)
- Text Analysis/Analytics
This course focuses on developing student's quantitative and qualitative analysis skills which are useful in solving business problems, predicting trends, and forecasting markets. Students will learn through hands-on exercises and practical applications of statistical techniques to analyse economic and financial data and relationships.
Incompatible and Co-taught: 3030AFE Predictive Analytics
- This individual assignment involves business problem solving using techniques learned in Weeks 1-4 with the use of Python software. Students are expected to present a coherent and comprehensive report. This assessment piece should be submitted online. (25%)
- This individual assignment involves business problem solving using techniques learned in Weeks 5-8 with the use of Python software. Students are expected to present a coherent and comprehensive report. This assessment piece should be submitted online. (25%)
- This take home exam will assess student understanding of the topics studied throughout the trimester and be capable of using the Python software to analyse data. (50%)
For textbook details check your university's handbook, website or learning management system (LMS).
With a network of campuses spanning three cities in South East Queensland, Griffith University is committed to progressive multidisciplinary teaching and research and a valuable online provider with Open Universities Australia. Already attracting students from over one hundred countries, Griffith's dedication to academic excellence is available across Australia through OUA.
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Entry requirements
No entry requirements
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- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
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What to study next?
Once you’ve completed this subject it can be credited towards one of the following courses
Bachelor of Applied Financial Advice
UndergraduateGRF-AFA-DEG
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