Introduction

In today’s data-driven world, Gender Data Analysis is a critical tool for advancing gender equality, social inclusion, and evidence-based policymaking. Gender Data Analysis Training Course equips participants with cutting-edge skills in gender-disaggregated data, intersectional analysis, data visualization, and impact evaluation to uncover inequalities and inform transformative interventions. With global commitments such as the Sustainable Development Goals (SDGs) emphasizing inclusive data systems, the demand for professionals skilled in gender-sensitive data analytics, big data for development, and inclusive research methodologies continues to grow rapidly.

This training provides a comprehensive, practical, and hands-on approach to analyzing gender data across sectors including education, health, governance, and economic development. Participants will explore AI-powered analytics, gender-responsive budgeting, machine learning applications, and ethical data governance, while applying tools such as Excel, Power BI, SPSS, and Python. By integrating real-world case studies and policy frameworks, this course empowers learners to transform raw data into actionable insights that promote gender equity and inclusive development outcomes.

Programme Curriculum

Gender Data Analysis Training Course

Introduction

Course Duration

5 days

Course Objectives

By the end of the training, participants will be able to:

Apply gender-responsive data analysis frameworks in development projects
Interpret gender-disaggregated datasets for informed decision-making
Utilize data visualization tools for gender insights (Power BI, Tableau)
Conduct intersectional gender analysis using advanced methodologies
Integrate AI and machine learning in gender data analytics
Design and implement gender-sensitive monitoring and evaluation systems
Analyze gender gaps in socio-economic indicators
Apply big data analytics for gender equality research
Develop gender-responsive budgeting models using data
Ensure ethical data collection and gender data governance
Use statistical tools (SPSS, R, Python) for gender analysis
Translate data into policy briefs and actionable insights
Strengthen evidence-based advocacy using gender data storytelling

Target Audience

Gender specialists and equality advocates
Data analysts and research professionals
Monitoring and evaluation (M&E) officers
Government policymakers and planners
NGO and development practitioners
Academics and social science researchers
Program managers in international organizations
Students in data science, gender studies, and development fields

Course Modules

Module 1: Introduction to Gender Data Analysis

Concepts of gender, equity, and inclusion in data
Importance of gender-disaggregated data systems
Overview of global gender data frameworks
Data sources: surveys, censuses, administrative data
Case Study: Gender data gaps in SDG reporting

Module 2: Data Collection & Gender-Sensitive Methods

Designing gender-responsive research tools
Quantitative vs qualitative gender data collection
Addressing bias in data sampling
Ethical considerations in gender data
Case Study: Inclusive data collection in rural communities

Module 3: Data Management & Cleaning

Data preparation and validation techniques
Handling missing gender data
Data coding and classification by gender
Introduction to Excel and data cleaning tools
Case Study: Cleaning national survey datasets

Module 4: Statistical Analysis for Gender Data

Descriptive and inferential statistics
Gender gap analysis techniques
Regression analysis for gender indicators
Using SPSS/R for gender data
Case Study: Wage gap analysis across sectors

Module 5: Data Visualization & Storytelling

Principles of gender data visualization
Tools: Power BI, Tableau dashboards
Communicating gender insights effectively
Infographics for advocacy
Case Study: Visualizing education gender disparities

Module 6: Intersectionality & Advanced Analysis

Understanding intersectional inequalities
Multivariate analysis for gender research
Linking gender with age, disability, income
Advanced analytics using Python
Case Study: Intersectionality in urban poverty

Module 7: Gender Data in Policy & Planning

Evidence-based policymaking
Gender-responsive budgeting using data
Monitoring SDGs with gender indicators
Policy impact evaluation
Case Study: Gender budgeting in public finance

Module 8: Emerging Trends in Gender Data

AI and machine learning applications
Big data for gender equality
Open data and gender transparency
Data governance and privacy
Case Study: Using AI to detect gender bias in hiring

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

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000