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Data Mining for Correlation Analysis
*This is a non-WSQ module.

Data mining is a technique used to extract useful information from a large number of datasets. A good understanding of the updated data mining techniques and the ability to use effectively is increasingly important for data-intensive manufacturing operations. This training is targeted towards manufacturing companies and companies in other industries which are data rich but information poor. It aims to provide the trainees understanding of up-to-date data mining technologies, build a fundamental about data analytics and data mining techniques for various applications such as process optimisation, correlation analysis for major factor identification, product quality improvement and many more.

About the Programme

This course aims to provide participants with up-to-date technologies in data mining. Through extensive hands-on and sharing of successful case studies, it allows the participants to have the confidence and ability to use data mining techniques to help them in their daily work.

The course will provide the participants with a set of methodology for conducting problem-solving using data mining. From the basics of methodologies in data collection, pre-process data from multiple sources, cleaning of the data, to finally using data mining techniques to analyse the data and solve actual industrial problems.

As the end of the course, the participants can:

  • Understand the fundamentals of data mining technologies
  • Gain knowledge of actual industry case studies of how data mining can be used to solve actual industrial problems
  • Understand data collection and pre-process methodologies
  • Understand the K-means clustering method and its application
  • Able to apply correlation analysis to identify the major factors for root cause analysis
  • Understand and apply predictive modelling by multiple regression and neural networks
  • Apply smart design of experiment with What-If analysis through predictive models


Watch our webinar video for "Minimising Design of Experiments (DoE) for Process Optimisation Using Data Mining Approach" held on 7 May 2021 for more information about SIMTech's Data Mining Courses.

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Course Outline
Upon Completion of This Course

Pre-Requisites and Nett Course Fee

Contact Us

Brochure and Registration

Data Mining for Correlation Analysis_A4

Please register for this course under 1. Modular Programmes > 2. Implement Manufacturing Data Mining Techniques > 3. Data Mining for Correlation Analysis (DM-LITE) in the online registration form.

Note: Received registrations are placed on the waiting list for the next upcoming intake if the current intake is full or there is no available course schedule.


Skills Course Reference Number Training Period
(Click on dates to view schedules)
Registration Status
Implement Manufacturing Data Mining Techniques (42 hours) TGS-2020506158
EVE 26 Jul 2021 - 1 Nov 2021
Data Mining for Correlation Analysis (DM-LITE) TGS-2020504604    

FD : Full Day  AM : Morning PM : Afternoon EVE : Evening