Gender Data Collection, Indicators and Evidence-Based Reporting Course

Introduction

Gender data collection, indicators, and evidence-based reporting are essential components of effective gender-responsive planning, monitoring, and evaluation systems. This course is designed to equip participants with practical skills to collect, analyze, and report gender-disaggregated data that informs policy, programming, and decision-making processes.

Despite growing demand for gender data, many institutions face challenges such as weak data systems, lack of disaggregation, inconsistent indicators, and limited capacity to translate data into actionable insights. This course addresses these gaps by strengthening participants’ ability to generate high-quality gender statistics and evidence.

The course provides a comprehensive understanding of data collection methodologies, indicator development, and evidence-based reporting frameworks. Participants will explore how to design gender-sensitive data systems that capture inequalities, track progress, and measure impact across sectors.

A strong focus is placed on practical data skills, including survey design, qualitative and quantitative data collection, data cleaning, analysis, visualization, and reporting. Participants will learn how to transform raw data into meaningful insights that support gender-responsive decision-making.

Emerging issues such as big data analytics, artificial intelligence in data systems, digital data platforms, open data governance, and real-time reporting tools are integrated into the curriculum. These ensure participants are prepared to work with modern data systems and technologies.

Through case studies, simulations, and hands-on exercises, participants will gain practical experience in designing and implementing gender data systems. By the end of the course, participants will be able to produce high-quality gender evidence to support programs, policies, and development outcomes.

Who Should Attend

• Monitoring and evaluation officers
• Gender data analysts and statisticians
• Policy makers and government officials
• NGO and development practitioners
• Research and academic professionals
• Programme and project managers
• Data scientists and analysts
• Human rights and gender specialists
• Donor and development partners
• Public sector planners
• Health and education data officers
• Community development officers

Duration

5 Days

Course Objectives

• Equip participants with comprehensive knowledge and practical skills to collect, analyze, and report gender-disaggregated data that supports evidence-based decision-making and policy development.
• Strengthen participants’ capacity to design and implement gender-sensitive data collection systems that capture inequalities and inform development interventions effectively.
• Develop practical skills in designing gender-responsive indicators that measure progress, outcomes, and impact of gender equality programs.
• Enhance understanding of quantitative and qualitative data collection methods used in gender research and program evaluation.
• Build competencies in data cleaning, validation, analysis, and interpretation for producing accurate and reliable gender statistics.
• Equip learners with tools to develop evidence-based reporting frameworks that translate data into actionable insights for stakeholders.
• Strengthen participants’ ability to design surveys, questionnaires, and research tools that effectively capture gender-related information.
• Promote knowledge of data visualization techniques and reporting formats that improve communication of gender evidence.
• Enhance capacity to integrate emerging technologies such as big data, AI, and digital platforms into gender data systems.
• Empower participants to lead data-driven decision-making processes that improve gender equality outcomes in programs and policies.

Comprehensive Course Outline

Module 1: Introduction to Gender Data Systems

• Concepts of gender data
• Importance of data in gender programming
• Data systems overview
• Global standards

Module 2: Gender-Disaggregated Data

• Types of gender data
• Importance of disaggregation
• Data classification systems
• Data gaps identification

Module 3: Indicator Development

• Indicator design principles
• SMART indicators
• Gender-sensitive indicators
• Measurement frameworks

Module 4: Data Collection Methods

• Quantitative methods
• Qualitative approaches
• Mixed methods research
• Field data collection tools

Module 5: Survey Design and Implementation

• Questionnaire development
• Sampling techniques
• Data quality assurance
• Fieldwork management

Module 6: Data Analysis Techniques

• Statistical analysis
• Gender data interpretation
• Comparative analysis
• Trend analysis

Module 7: Data Visualization and Reporting

• Charts and dashboards
• Reporting formats
• Storytelling with data
• Communication strategies

Module 8: Evidence-Based Decision Making

• Policy use of data
• Program improvement
• Results-based reporting
• Stakeholder communication

Module 9: Emerging Trends in Data Systems

• Big data analytics
• Artificial intelligence in data
• Open data platforms
• Real-time monitoring systems

Module 10: Capstone Data Project

• Data system design
• Case study analysis
• Group exercises
• Final presentations

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