Online Courses

Module Based Training


Duration: 60 minutes

Subject area:

Fees: $200.00


This module forms part of our 2-day Industrial Data Science (IDS) training course which aims to address the important skill sets and understanding needed to explore the main tools used for data science and how these can be implemented to optimize asset management in heavy industry. To view/register for the live training session, click here.

The training module is followed by an interactive case study to reinforce learning.


Our Data Preparation, Feature Engineering, and Data Labelling module provides a description of the key elements relating to the topic.


  • Define, identify and engineer new features
  • Illustrate common feature engineering techniques and deploying feature engineering.
  • Detail Data Labelling (Object detection; Time series)
  • Describe Data Splits (Train, Test, & Validation; Random vs Stratified)
  • Explain integration of AI into organizations and Active Learning
  • Solve a worked example – Augmented AI


The delegates will learn the significance of optimizing data science output, by optimizing data preparation and utilizing feature engineering and data labelling.

System Requirements

  • Internet Access – Users will need a computer or device with a web browser and an internet connection.
  • System – Runs on desktop computers using Microsoft Windows 7, 8 and 10, and MAC OS.
  • Browser – Runs on IE11, Chrome, Firefox and Safari, but requires the latest Flash Player to run.
  • Audio – Requires speaker or headphones.
  • Notes – Not suitable for tablets or smartphones.

Terms & Conditions

  • Pre-recorded sessions are accessible for a 30-day duration upon receiving access.
  • Payments are non-refundable in the event of a cancellation.
  • Access to the pre-recorded session will be granted within 5 working days of payment receipt and a notification will be sent to your email address.