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

  • Mode Icon
    Mode
    Virtual Class
  • Duration Icon
    Duration
    16hrs (2 Days)
  • Fees Icon
    Fees
    S$700
  • SDU Points Icon
    SDU Points
    8
  • Online Assessment Icon
    SFC Eligible
    Yes
Business Data Analysis Course Singapore

The Data Analysis Course equips safety professionals with hands-on data analysis capabilities to support quality management systems and improve process efficiency. Learners gain practical knowledge of the PDCA methodology to enhance production modelling and apply data analysis tools to support organizational compliance efforts. The program starts with a comprehensive overview of data analysis in safety, building a solid base for advanced learning.

Advanced modules focus on optimizing process workflows, identifying trends, and applying data-driven approaches to support continuous improvement. This practical training enables professionals to implement these techniques within their work environment, resulting in enhanced safety standards and greater operational efficiency.

Course Completion Requirements
•⁠ ⁠A minimum attendance of 75% is required.
•⁠ ⁠All required assessments must be completed and passed.

Certificate Issuance

After successfully completing and passing the required assessment(s), participants will be awarded:

1. A QES Certificate of Completion, with Safety Development Unit (SDU) points awarded

UEN/Foreign Entity Number: 201422488N

SkillsFuture Credit eligible
UTAP grant supported, able to claim up to 50% of course fee.

From Data Analysis Course, Learners will be able to 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

Tool to Be Used:

  • Power BI
  • Excel
  • Aged 21 and above;
  • Have minimum GCE “N”, “O” or “A” Level / NITEC or a diploma or higher qualification;
  • Safety Officers
  • Health and Safety Managers
  • Compliance Officers and Risk Assessment Professionals
  • Data Analysts in Safety and Quality
  • Process Engineers

At the end of this course, participants will be able to:

  • Refine quality management systems, ensuring higher standards of safety and compliance
  • Gain skills to use data analysis for streamlining and optimizing process flows, leading to more efficient operations
  • Implement more effective safety measures, reducing risks and enhancing workplace safety

The Data Analysis Course equips safety professionals with hands-on data analysis capabilities to support quality management systems and improve process efficiency. Learners gain practical knowledge of the PDCA methodology to enhance production modelling and apply data analysis tools to support organizational compliance efforts. The program starts with a comprehensive overview of data analysis in safety, building a solid base for advanced learning.

Advanced modules focus on optimizing process workflows, identifying trends, and applying data-driven approaches to support continuous improvement. This practical training enables professionals to implement these techniques within their work environment, resulting in enhanced safety standards and greater operational efficiency.

Course Completion Requirements
•⁠ ⁠A minimum attendance of 75% is required.
•⁠ ⁠All required assessments must be completed and passed.

Certificate Issuance

After successfully completing and passing the required assessment(s), participants will be awarded:

1. A QES Certificate of Completion, with Safety Development Unit (SDU) points awarded

UEN/Foreign Entity Number: 201422488N

SkillsFuture Credit eligible
UTAP grant supported, able to claim up to 50% of course fee.

Next Schedule:
Month Date Time
November 2026 19 and 20 November 9am – 6pm
August 2026 27 and 28 August 9am – 6pm
September 2026 19 and 20 September 9am – 6pm
October 2026 19 and 20 October 9am – 6pm

From Data Analysis Course, Learners will be able to 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

Tool to Be Used:

  • Power BI
  • Excel

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

  • Safety Officers
  • Health and Safety Managers
  • Compliance Officers and Risk Assessment Professionals
  • Data Analysts in Safety and Quality
  • Process Engineers

At the end of this course, participants will be able to:

  • Refine quality management systems, ensuring higher standards of safety and compliance
  • Gain skills to use data analysis for streamlining and optimizing process flows, leading to more efficient operations
  • Implement more effective safety measures, reducing risks and enhancing workplace safety

Singapore Citizens (40 years and above)
Course fee (excl. GST) $700
9% GST $63
70% Skills Future (SSG) Subsidy $490
Nett Fee $273
Singapore Citizens (21-39 years old) & PR
Course fee (excl. GST) $700
9% GST $63
50% Skills Future (SSG) Subsidy $350
Nett Fee $413

SkillsFuture Credits eligible for Singapore Citizens aged 25 & above

SMEs
Course fee (excl. GST) $700
9% GST $63
70% SkillsFuture (SSG) Subsidy (Singapore Citizens (40 years and above)) $490
Nett Fee $273
Non SMEs
Course fee (excl. GST) $700
9% GST $63
50% SkillsFuture (SSG) Subsidy Singapore Citizens (21-39 years old) & PR $350
Nett Fee $413

Additional Support

  • Absentee Payroll
  • SkillsFuture Enterprise Credit (SFEC)
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    Frequently Asked Questions

    Find Quick Answers To Help You Get Started With Confidence.

    Safety analysis usually includes studying trends, identifying root causes, and reviewing accident records to provide an effective risk management plan.

    The 4 types of data analysis are descriptive analysis, diagnostic analysis, predictive analysis, and prescriptive analysis.

    You will receive a certificate upon successful completion of the course and assessments.

    Participants who are at least 21 years old and have completed a minimum GCE N, O, or A Level can enroll in a Data Analysis course at QES Academy.

    You will need basic Excel skills, data management skills, and data interpretation skills to process effective data analysis.

    Our Practical Data Analysis course for safety experts helps participants to analyze safety data effectively using data analysis tools so that you can strengthen workplace safety.

    No, our Data Analysis course is suitable for beginners to advanced levels. It covers from introduction to data analysis to real-life practices and includes industry-focused assessment.

    Yes, our Practical Data Analysis course supports SkillsFuture Credits. Singaporean citizens and Permanent Residents can generally apply for SkillsFuture funding support.

    In our Practical Data Analysis course for safety experts, you will learn how to manage safety data effectively using data analysis tools so that you can provide organization-compliant safety reports.

    Data analysis helps safety experts make effective data-driven decisions. Professionals can identify the root causes of accidents and safety trends in the workplace to enhance risk management plans.

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