About the Course
Predicting Accidents At the Workplace course is designed to provide a comprehensive understanding of the proactive approach specifically on preventing accidents at the workplace. By analyzing historical accident data, environmental factors, and employee behavior, companies can identify patterns that indicate the likelihood of accidents occurring in the future. This can help to take preventive actions and put safety measures in place before accidents happen.
Predicting workplace accidents involves using data analysis and predictive modeling techniques to identify patterns and high-risk situations within a workplace, allowing for proactive interventions to mitigate potential hazards and prevent accidents before they occur; this often leverages data from safety reports, employee behaviors, equipment conditions, and environmental factors, utilizing tools like machine learning algorithms to analyze these patterns and generate predictions about potential accidents.
What you will learn
1) the knowledge to identify risk key factors to potential accidents
2)selections of significant variables / features
3) to develop predictive models
4) to generate alerts for high-risk situations
5) the challenges in predicting workplace accidents
Certification
Certificates of successful completion will be awarded to trainees who have demonstrated competency and achieved at least 75% attendance.
Your Facilitator
Facilitators are nationally recognised HSE Practioners with many years of international industrial experience across various industries and preferred partners with Singapore Institution of Safety Officers.
Course Schedule
Predicting Accidents at the Workplace
Fee
$390 nett
Duration
8 Hours (Synchronous)
SDUs
4