Gender Economics Training Course

Gender Studies

Gender Economics Training Course equips participants with cutting-edge tools to analyze gender disparities and implement evidence-based, inclusive economic strategies.

Gender Economics Training Course

Course Overview

Gender Economics Training Course

Introduction

Gender Economics is a transformative and data-driven field that integrates economic analysis, gender equality, inclusive growth, and sustainable development to address systemic inequalities in labor markets, resource distribution, and policy frameworks. In today’s rapidly evolving global economy, understanding gender-responsive budgeting, economic empowerment, financial inclusion, and intersectionality is essential for designing policies and programs that promote equitable access to opportunities. Gender Economics Training Course equips participants with cutting-edge tools to analyze gender disparities and implement evidence-based, inclusive economic strategies.

With increasing global emphasis on the Sustainable Development Goals (SDGs), ESG frameworks, digital economies, and social protection systems, Gender Economics has emerged as a critical discipline for policymakers, development practitioners, and private sector leaders. This training provides practical insights into gender data analytics, unpaid care economy, labor force participation, and inclusive financial systems, enabling participants to drive impactful gender-transformative economic reforms across sectors.

Course Duration

5 days

Course Objectives

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

  1. Analyze gender economic disparities using advanced data analytics tools
  2. Apply gender-responsive budgeting (GRB) in policy planning
  3. Design inclusive economic empowerment programs
  4. Evaluate labor market inequalities and wage gaps
  5. Integrate intersectionality in economic policy frameworks
  6. Assess the impact of the unpaid care economy on GDP
  7. Develop gender-inclusive financial inclusion strategies
  8. Utilize big data and gender statistics for decision-making
  9. Strengthen women’s entrepreneurship ecosystems
  10. Promote digital financial inclusion and fintech solutions
  11. Implement social protection and economic resilience programs
  12. Conduct gender impact assessments (GIA)
  13. Align economic policies with SDGs and ESG standards

Target Audience

  1. Government policymakers and economic planners
  2. Development practitioners and NGO professionals
  3. Gender specialists and social inclusion experts
  4. Economists and researchers
  5. Financial sector professionals and analysts
  6. Project managers and program officers
  7. Private sector CSR and ESG teams
  8. Academics and students in economics and development studies

Course Modules

Module 1: Foundations of Gender Economics

  • Key concepts in gender and economics
  • Gender roles in economic systems
  • Feminist economic theories
  • Gender inequality indicators
  • Case Study: Gender wage gap analysis in emerging economies

Module 2: Gender Data & Economic Analysis

  • Gender-disaggregated data collection
  • Data visualization and interpretation
  • Gender statistics tools and frameworks
  • Big data in gender economics
  • Case Study: Using national survey data to assess inequality

Module 3: Labor Markets & Wage Inequality

  • Gender wage gap and pay equity
  • Informal vs formal employment
  • Occupational segregation
  • Youth and women employment trends
  • Case Study: Labor force participation trends in Africa

Module 4: Unpaid Care Economy

  • مفهوم unpaid care work
  • Economic valuation of care work
  • Time-use surveys
  • Policy implications for care economy
  • Case Study: Care economy reforms and GDP contribution

Module 5: Gender-Responsive Budgeting (GRB)

  • Principles of GRB
  • Budget analysis from a gender lens
  • Public expenditure tracking
  • Policy advocacy for GRB
  • Case Study: National GRB implementation success story

Module 6: Financial Inclusion & Entrepreneurship

  • Barriers to women’s financial access
  • Microfinance and fintech solutions
  • Women entrepreneurship ecosystems
  • Digital banking and inclusion
  • Case Study: Women-led SME growth through microfinance

Module 7: Social Protection & Economic Empowerment

  • Social safety nets and gender
  • Cash transfer programs
  • Economic resilience strategies
  • Poverty reduction frameworks
  • Case Study: Gender-responsive social protection programs

Module 8: Policy, SDGs & Global Frameworks

  • SDG 5 and economic equality
  • ESG and gender metrics
  • Policy design and evaluation
  • Gender mainstreaming strategies
  • Case Study: Integrating gender in national economic policies

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@datastatresearch.org or call +254724527104 

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 DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.

Course Information

Duration: 5 days

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