Predictive Data Analytics for Safety Professionals (PDASP)

For whom:

The Predictive Data Analytics for Safety Professionals (PDASP) course is designed for safety professionals, managers, supervisors, and WSH coordinators who wish to enhance their data analytical skills in Workplace Safety and Health. It is suitable for:

• WSH Officers, Safety Managers, Supervisors, Coordinators
• Professionals responsible for workplace safety across all industries

Entry Requirement:

• Learners are assumed to have:
  • Minimum Employability Skills (ES) Workplace Literacy level 5, or
  • Minimum GCE ‘N’ Level with a credit in English and Mathematics, or
  • A valid WSH Officer License.

Course Overview:

• On completion of this unit, learners will gain appreciative knowledge and skills in predictive analytics for Workplace Safety and Health.
• Predictive data analytics allows accurate forecasting of workplace risks by analyzing a range of factors, such as environmental conditions, equipment health, and worker compliance with safety protocols.
• The Predictive Data Analytics for Safety Professionals (PDASP) course equip participants with the practical knowledge and skills to apply the data analytical skills to foresee potential incidents at the workplace and thereby take proactive measures to mitigate and prevent incidents caused by unsafe work behaviors and environments.

Course Content

1. Introduction to Predictive Analytics in Safety
2. Foundations of Safety Data Analytics
3. Analytical Techniques Overview
4. Excel Practice 1: Data Cleaning & Descriptive Analysis (Hands-on Exercise)
5. Applying Predictive Analytics in Safety Strategy
6. Excel Practice 2: Correlation & Regression Analysis (Hands-on Exercise)
7. Excel Practice 3: Predictive Dashboards & Insights (Hands-on Exercise)
8. Review, Assessment, and Wrap-Up Discussion

Course Duration: 

• Total Delivery Hours: 8 Hours
  • Classroom Theory: 4 Hours
  • Practical Session (computer): 3 Hours
  • Assessment Hours: 1 Hour

Medium of Instruction: English

Teaching Methodology: Class Room – Face to face Theory and Practical using computer with Excel.

Key Person In-charge: Mr. Monish V (General Manager – Corporate Support Division)

Learning Environment: Interactive classroom and fully equipped workshop for practical demonstrations and performance.

Class Size:

Recommended Class Size – Classroom: 20
Ideal number of participants: 5 pax or more

Facilitator/Learner Ratio: 1:20

Course Attendance Minimum: 100%

Assessment Advice:

• Participants will be assessed on:
  1. Short Answer Questions – 5 SAQs – Open-book – 30 Minutes
  2. Practical Performance (computer) – 1 Question – Open-book – 30 Minutes
  Both Assessments are competency-based.

Course Fee Inclusive of GST: S$ 163.50

Funding & Claims: NA

Certification:

• Based on the successful completion of the course and assessment, a certificate of achievement endorsed by Eversafe Academy Ltd., will be awarded to the trainee.
• E-cert available

Course Venue

• No. 2, Kampong Kapor Road, Little India, Near Jalan Besar, MRT Station Exit B, Singapore – 208674
• No. 3, Soon Lee Street, #04-14/16 & 17, Pioneer Junction, Singapore – 627606.
• No. 2, Joo Koon Road, Singapore – 628966.
• No. 2, Wan Lee Road, Singapore – 627934.

Registration Venue

• No. 2, Kampong Kapor Road, Little India, Near Jalan Besar, MRT Station Exit B, Singapore – 208674
• No. 3, Soon Lee Street, #04-14/16 & 17, Pioneer Junction, Singapore – 627606.
• No. 2, Joo Koon Road, Singapore – 628966.
• No. 2, Wan Lee Road, Singapore – 627934.

Requirements to be a trainer/assessor/developer for this course

• Data Analyst with 2 years of practical field experience and/or 5 years as a Workplace Safety & Health Officer in applying data analytics related to workplace safety performance and risk management.

Renewal Points:

• SDU Points : 4 – ref: CPD/131/T2.0/252644