Practical Data Analysis Techniques for Safety Experts (Synchronous e-learning)

Training Provider: QE SAFETY CONSULTANCY PTE. LTD.
Course Reference: TGS-2026065075
S$350
Original: S$700
Save S$350

About This Course

This course empowers safety experts with practical data analysis skills to enhance quality management systems and optimize process flows. Participants will learn the PDCA approach to refine production modelling and employ data analysis tools for effective organization compliance. The course begins with an introduction to data analysis in safety, setting a strong foundation for subsequent learning.

Advanced modules delve into managing process flows and real-time line production through data mining and production modelling techniques. This hands-on training ensures professionals can apply these methods immediately in their workplaces, leading to improved safety measures and operational efficiency.

What You'll Learn

Learning Outcomes
LO1: Apply PDCA approach to refine Quality Management Systems for production modelling.
LO2: Manage process flows using data analysis tools to meet organization requirements.
LO3: Manage line production in real-time using data mining techniques.

Learning Units
LU1: Introduction to Data Analysis in Safety
LU2: Data Analysis for Process Flow Management
LU3: Data Mining, Production Modelling, and Real-time Line Management

Entry Requirements

• Aged 21 and above;
• Have minimum GCE “N”, “O” or “A” Level / NITEC or a diploma or higher qualification;

Course Details

Duration 16 hours
Language English
Training Commitment Part Time
Total Enrolled New course
Back to All Courses
Note: To apply for this course, visit or contact the training provider directly.

More Courses from QE SAFETY CONSULTANCY PTE. LTD.

Learners will be able to: LO1. Interpret the principles and concepts of ISO 9001:2015 QMS standar...
Duration 16 hours
Fee After Subsidy S$150
This WSQ Merging Sustainability with OHS course equips learners with the knowledge and tools to prom...
Duration 16 hours
Fee After Subsidy S$350