Gender Research, Data Analysis and Policy Development Course

Introduction

Gender research and data-driven policymaking are essential pillars for achieving sustainable development and social justice. This course provides a comprehensive foundation in gender research methodologies, advanced data analysis techniques, and evidence-based policy development processes. It equips participants with the analytical and technical skills required to generate high-quality gender data that informs effective decision-making and policy formulation.

In many development contexts, the lack of reliable, disaggregated, and intersectional gender data limits the effectiveness of policies and programs. This course addresses these gaps by training participants on how to design, collect, and analyze gender-sensitive data. It emphasizes both quantitative and qualitative research approaches, enabling learners to capture the complexity of gender dynamics in different social, economic, and political contexts.

The course also focuses on translating research findings into actionable policies. Participants will learn how to bridge the gap between evidence generation and policy implementation by developing clear, practical, and context-specific policy recommendations. Special attention is given to how gender data can influence national planning, institutional reforms, and program design.

A strong emphasis is placed on advanced data analysis techniques, including statistical analysis, data visualization, and interpretation of gender indicators. Participants will gain hands-on experience using analytical tools to identify trends, measure inequalities, and assess the impact of policies and interventions on different population groups.

The course integrates global frameworks, including SDG monitoring systems, gender equality indices, and international data standards. Participants will explore how these frameworks guide data collection and policy development processes at national and international levels. The course also addresses ethical considerations in gender research, including data privacy, bias, and responsible data use.

Through practical exercises, case studies, and applied research projects, participants will develop the ability to conduct rigorous gender analysis and contribute to evidence-based policymaking. By the end of the course, learners will be equipped to lead gender research initiatives, analyze complex datasets, and influence policy decisions that promote equality and inclusive development.

Who Should Attend

• Gender and development researchers
• Monitoring and evaluation specialists
• Policy analysts and advisors
• Government planning officers
• Data scientists and statisticians
• NGO and civil society professionals
• Academic researchers and lecturers
• International development practitioners
• Program managers and coordinators
• Donor agency and UN staff
• Social policy experts
• Human rights researchers

Duration

5 Days

Course Objectives

• Develop a comprehensive understanding of gender research methodologies, enabling participants to design rigorous studies that generate reliable and actionable evidence for policy development and program improvement.
• Strengthen participants’ ability to apply both quantitative and qualitative research methods, including mixed-methods approaches, to analyze complex gender dynamics in diverse contexts.
• Equip participants with advanced data analysis skills, including statistical techniques and data visualization tools, to interpret gender-disaggregated data effectively.
• Enhance the ability to design gender-sensitive research tools and instruments that ensure accurate, ethical, and inclusive data collection processes.
• Build capacity to translate research findings into clear, practical, and evidence-based policy recommendations that inform decision-making at institutional and national levels.
• Strengthen understanding of global gender data frameworks, including SDG indicators and international standards, and their application in research and policy development.
• Develop competencies in intersectional analysis to ensure that gender research captures the experiences of diverse and marginalized population groups.
• Improve skills in evaluating the impact of policies and programs using gender-sensitive indicators and evidence-based assessment techniques.
• Enhance knowledge of ethical considerations in gender research, including data privacy, informed consent, and minimizing bias in data collection and analysis.
• Empower participants to influence policy processes by effectively communicating research findings to stakeholders, decision-makers, and development partners.

Comprehensive Course Outline

Module 1: Introduction to Gender Research and Policy

• Concepts of gender research
• Role of data in policymaking
• Evidence-based development
• Global gender frameworks

Module 2: Research Design and Methodologies

• Quantitative research methods
• Qualitative research approaches
• Mixed-methods design
• Sampling techniques

Module 3: Gender Data Collection Methods

• Survey design and tools
• Interviews and focus groups
• Digital data collection systems
• Ethical data collection

Module 4: Gender Indicators and Measurement

• Developing gender indicators
• SDG gender metrics
• Data disaggregation
• Measurement frameworks

Module 5: Data Analysis Techniques

• Statistical analysis methods
• Regression and correlation analysis
• Data cleaning and validation
• Analytical software tools

Module 6: Data Visualization and Reporting

• Visualization tools and techniques
• Dashboard development
• Reporting frameworks
• Communicating data insights

Module 7: Intersectional Gender Analysis

• Intersectionality frameworks
• Multiple identity analysis
• Inequality mapping
• Vulnerability assessment

Module 8: Policy Development Processes

• Policy formulation stages
• Evidence-based policymaking
• Stakeholder engagement
• Policy implementation

Module 9: Monitoring and Evaluation Systems

• Gender-responsive M&E frameworks
• Impact evaluation methods
• Performance measurement
• Learning and adaptation

Module 10: Emerging Issues in Gender Data and Policy

• Big data and AI in research
• Digital data ethics
• Climate and gender data
• Future trends in policy analysis

Training Approach

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Certification

Upon successful completion of the training, participants will be awarded a certificate of completion by Steady Development Center.

Training Venue

The training will be held online. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, tutorials and all required training manuals. Any other personal expenses are catered by the participant.
For registration and further enquiries, contact us on:

• Tel: +254 701 180 097
• Email: training@steadytrainingcenter.com

Tailor-Made Option

This course can be customized to suit the specific needs of your organization and be delivered on-line to any convenient location.

Terms Of Payment

Upon agreement by both parties’ payment should be made to Steady Development Center’s official account at least 3 working days before training begins to facilitate adequate preparation.

Our Upcoming Training Schedule