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What You'll Learn

Master data analytics. Measure wellbeing program impact, analyze mental health trends, and optimize OHS decisions using real workforce data
Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 10-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Data Analytics for Occupational Health & Mental Health Outcomes - Course Cover Image
Duration 10 Days
Level Intermediate
Format In-Person

Course Overview

Featured

This 10-module course provides participants with the tools and methodologies to leverage data analytics in enhancing occupational health and mental wellbeing strategies. Designed for HR professionals, data analysts, health and safety officers, and organizational leaders, the course focuses on applying data-driven OHS decision making, HR analytics for mental health trends, and reporting on employee health metrics. Participants will learn how to collect, analyze, and interpret data to optimize workplace wellbeing programs and effectively track the impact of health interventions.

DURATION

10 Days

Target Audience

  • HR Analysts and Data Professionals

  • Occupational Health and Safety Officers

  • Organizational Psychologists

  • Corporate Wellness Managers

  • Compliance and Risk Officers

Course Level: Intermediate to Advanced

Course Impact

Organizational Impact

  • The organization can proactively manage health risks by identifying trends and risk factors before they lead to a crisis or a costly incident.

  • By using data to justify investments, the company can improve the ROI of its health and wellness programs and ensure resources are allocated effectively.

  • Data-driven insights lead to more targeted and effective interventions, resulting in a healthier, more engaged, and more productive workforce.

  • This advanced capability strengthens the organization's strategic approach to human capital, enhancing its reputation as a data-driven and employee-centric employer.

Personal Impact

  • The participant will gain a highly valuable and specialized skill set that combines data analytics with the crucial fields of occupational health and human resources.

  • This expertise is a crucial skill for career progression into senior strategic roles, such as HR analytics manager or director of health and wellness.

  • The individual will be able to contribute directly to the organization's long-term success by providing compelling, data-backed evidence for investing in its people.

  • The training provides the professional credibility and authority to lead conversations on employee well-being with data, not just intuition.

Course Objectives

By the end of this course, participants will:

  • Apply analytics to improve occupational health and mental wellbeing outcomes

  • Implement methods for measuring impact of wellbeing programs

  • Use HR analytics for mental health trends in strategic planning

  • Perform data-driven OHS decision making for risk prevention

  • Analyze absenteeism and presenteeism data to identify root causes

  • Improve reporting on employee health metrics to internal and external stakeholders

Course Outline

Module 1: Introduction to Data Analytics in Occupational Health

  • Role of data in workplace health strategy

  • Overview of analytics frameworks and tools

  • Identifying key OHS and mental health indicators

Module 2: Data Collection and Management

  • Sources of employee health data

  • Ensuring data accuracy, privacy, and security

  • Integrating HR, EHS, and wellness program data

Module 3: HR Analytics for Mental Health Trends

  • Recognizing trends in stress, burnout, and engagement

  • Dashboards and alerts for early detection

  • Using predictive analytics for mental health risk modeling

Module 4: Measuring Impact of Wellbeing Programs

  • Designing KPIs for health initiatives

  • Tracking utilization and outcomes of wellness programs

  • Evaluation methods for “measuring impact of wellbeing programs”

Module 5: Absenteeism and Presenteeism Analysis

  • Tools for “analyzing absenteeism and presenteeism data”

  • Identifying patterns linked to health or workplace stress

  • Linking insights to workforce planning and policies

Module 6: Advanced Data Visualization and Communication

  • Creating meaningful dashboards and infographics

  • Customizing reports for various audiences

  • Storytelling with data for wellness advocacy

Module 7: Reporting on Employee Health Metrics

  • Key elements of “reporting on employee health metrics”

  • Internal and external reporting standards

  • Case Study: Transparent health data reporting for ESG and compliance

Module 8: Data-Driven Decision Making in OHS

  • Practical models for “data-driven OHS decision making”

  • Scenario analysis and decision trees

  • Embedding analytics in HSE risk management

Module 9: Ethics, Bias, and Responsible Use of Data

  • Avoiding bias in health-related data interpretation

  • Ethical data use and consent

  • Ensuring inclusivity and equity in analysis

Module 10: Developing a Health Analytics Action Plan

  • Building a roadmap for analytics in occupational health

  • Integrating mental health and OHS insights into HR strategy

  • Final Project: Designing a data dashboard for wellness and OHS outcomes

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 16 Jan 2026 10 days Nairobi, Kenya KES 198,000 | USD 2,800 Enroll Now
5 Jan - 16 Jan 2026 10 days Cape Town, South Africa USD 7,500 Enroll Now
5 Jan - 16 Jan 2026 10 days Dubai, United Arabs Emirates USD 8,000 Enroll Now
5 Jan - 16 Jan 2026 10 days Zanzibar, Tanzania USD 4,400 Enroll Now
12 Jan - 23 Jan 2026 10 days Mombasa, Kenya KES 230,000 | USD 3,000 Enroll Now
12 Jan - 23 Jan 2026 10 days Kigali, Rwanda USD 3,800 Enroll Now
12 Jan - 23 Jan 2026 10 days Accra, Ghana USD 7,200 Enroll Now
12 Jan - 23 Jan 2026 10 days Kampala, Uganda USD 3,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dar es Salaam, Tanzania USD 4,300 Enroll Now
19 Jan - 30 Jan 2026 10 days Johannesburg, South Africa USD 6,500 Enroll Now
19 Jan - 30 Jan 2026 10 days Nakuru, Kenya KES 210,000 | USD 2,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dakar, Senegal USD 6,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Pretoria, South Africa USD 6,300 Enroll Now
26 Jan - 6 Feb 2026 10 days Kisumu, Kenya KES 210,000 | USD 3,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Naivasha, Kenya KES 210,000 | USD 2,800 Enroll Now
26 Jan - 6 Feb 2026 10 days Arusha, Tanzania USD 4,300 Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 198,000
USD 2,800
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 7,500
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 8,000
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 4,400
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 230,000
USD 3,000
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 3,800
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 7,200
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 3,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 6,500
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 6,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 6,300
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 210,000
USD 3,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now

Request Custom Training


We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

The goal is to equip you with the skills to use data analytics to improve occupational health and mental health outcomes. You'll learn to make evidence-based decisions that enhance employee well-being.
It helps move from a reactive to a proactive approach. You can identify trends, predict risks, and measure the effectiveness of your health and safety programs with tangible data.
You'll learn to analyze a range of data, including incident reports, absenteeism rates, employee engagement surveys, and mental health resource utilization. The training focuses on deriving actionable insights.
You'll learn to use data to justify investment in health programs, allocate resources effectively, and pinpoint root causes of health issues, leading to more targeted and impactful solutions.
The training provides tools for defining key performance indicators (KPIs) related to health and safety. You'll learn to build dashboards and reports to track progress and demonstrate the ROI of your initiatives.
Training on Data Analytics for Occupational Health & Mental Health Outcomes

Next class starts 5 Jan 2026

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