Introduction

In today’s evidence-driven world, understanding the intersection of gender and health is critical for effective policy-making, program design, and sustainable development. Gender and Health Data Analysis training course empowers participants with the skills to collect, manage, and analyze gender-disaggregated health data using advanced statistical tools, ensuring evidence-based interventions that promote equity and inclusivity. Through practical applications and real-world case studies, participants will gain the capacity to identify health disparities, monitor gender-sensitive indicators, and generate actionable insights that drive transformative health outcomes.

This course emphasizes data-driven decision-making, gender equity, health systems strengthening, and analytical rigor. By integrating quantitative and qualitative methods, participants will learn to harness health data for advocacy, policy influence, and program evaluation. The course blends interactive workshops, hands-on exercises, and collaborative learning approaches to enhance skills in statistical modeling, visualization, predictive analytics, and reporting. Participants will also explore emerging tools and technologies that facilitate gender-responsive health analysis in diverse contexts.

Programme Curriculum

Gender and Health Data Analysis Training Course

Introduction

Course Duration

5 days

Course Objectives

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

Apply gender-sensitive frameworks to health data analysis.
Collect, clean, and manage large health datasets with accuracy.
Conduct quantitative and qualitative analyses of gender-disaggregated data.
Use statistical software for health data visualization and interpretation.
Identify and report gender-based health disparities.
Develop actionable insights for evidence-based policy-making.
Integrate intersectional approaches in health data evaluation.
Monitor and evaluate gender-sensitive health programs.
Communicate analytical findings to policymakers and stakeholders effectively.
Design predictive models to anticipate health outcomes.
Interpret global and local health indicators in a gender context.
Utilize dashboards and digital tools for real-time gender health analytics.
Promote data-driven advocacy for gender equity in health.

Target Audience

Health data analysts and statisticians
Public health professionals
Gender and development specialists
Policy makers and program managers
Epidemiologists and biostatisticians
NGO and civil society health practitioners
Research scholars in health and social sciences
ICT professionals supporting health data systems

Course Modules

Module 1: Introduction to Gender and Health Data

Understanding gender concepts in health
Key gender-sensitive health indicators
Sources of health data and surveys
Case study: Gender gaps in maternal health in Kenya
Ethical considerations in health data collection

Module 2: Data Collection and Management

Designing gender-sensitive surveys
Database management systems for health data
Data cleaning techniques and validation
Case study: WHO Global Health Observatory data
Ensuring data quality and reliability

Module 3: Quantitative Analysis Techniques

Descriptive statistics for gendered data
Inferential statistics applications
Regression analysis for health outcomes
Case study: HIV prevalence by gender in Sub-Saharan Africa
Using R and SPSS for analysis

Module 4: Qualitative Data Analysis

Coding gender-related narratives
Thematic and content analysis
Integrating qualitative findings with quantitative data
Case study: Gendered experiences of mental health in urban populations
NVivo for qualitative health research

Module 5: Data Visualization & Reporting

Creating dashboards and interactive visuals
Infographics for gender health communication
Storytelling with health data
Case study: Gender disparities in COVID-19 vaccination
Tableau and Power BI for visual analytics

Module 6: Intersectionality & Advanced Analytics

Intersectional analysis of health data
Multivariate statistical modeling
Predictive analytics for health trends
Case study: Intersection of gender, age, and socio-economic status in maternal mortality
Machine learning applications in gender health data

Module 7: Monitoring & Evaluation

Gender-sensitive program indicators
Evaluation frameworks for health interventions
Reporting tools for donor and stakeholder engagement
Case study: Evaluating gender equity in immunization programs
Using KPIs and dashboards for continuous improvement

Module 8: Data-Driven Advocacy & Policy Making

Translating data into actionable policies
Engaging policymakers and community stakeholders
Crafting evidence-based advocacy campaigns
Case study: Gender equity in national health policy design
Strategies for global health advocacy

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Data collection Statistical analysis Trend interpretation Reporting

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Sep 21 2026

21 Sep — 25 Sep 2026

💻 Online / Virtual session

Online $1,000