Advanced - Predictive Analysis

Course Information

  • 3 Days
Time: 9am to 6pm
Fee: $1872.50 (Inclusive of GST)

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Advanced - Predictive Analysis

Predictive analysis is about using available data to determine and forecast future results or actions by identifying trends and patterns, understanding the data relationships and building suitable models to assess different decision options. This is also an increasingly important skill in the public sector.

This course introduces you into the different predictive models and techniques to help you make reasonable predictions and forecasts about the future and in unknown circumstances. Through the case studies shared and the practical capstone exercise on Day 3, you will better understand the data modelling process and learn how to make connections with the data variables. You will then be ready to apply what you’ve learnt in real scenarios at work.

Topics Covered

  • Introduction to Predictive Analysis (PA)
  • Introduction to Programming Syntax
  • Regression-based PA
  • Time series-based PA
  • Classification & Clustering based PA
  • Association rule-based PA
  • Capstone Project

Who Should Attend

  • Officers with an interest to build on their fundamental data skills to explore and better understand how predictive analysis and modelling strengthens data analysis
  • Recommended Entry Requirements: A strong background in statistics, frequent use of data at work including data analysis, and a basic awareness of programming is highly recommended


  • R or Python

Other Information

  • Refreshments and tea breaks will be provided twice daily
  • Participants must achieve 70% for the Applied Learning Assessment and 85% attendance to receive the Certificate of Completion
  • Registration closes 2 weeks before the scheduled class date or when the class is full, whichever is earlier
  • FMG reserves the right to postpone or cancel the class should the minimum class size is not met and participants will be informed accordingly ahead of the scheduled date
  • Learning materials, laptop and software are provided on site