Introduction

In today’s data-driven economy, integrating gender perspectives into big data analytics is essential for achieving inclusive development, equity-driven decision-making, and evidence-based policy design. Gender and Big Data Training Course explores how gender-disaggregated data, AI ethics, machine learning fairness, and data governance frameworks can transform institutions and organizations. Participants will gain practical insights into addressing algorithmic bias, improving data inclusivity, and leveraging digital transformation to promote gender equality across sectors.

As organizations increasingly rely on predictive analytics, data mining, and AI-powered systems, there is a critical need to ensure that these technologies do not reinforce existing inequalities. This training equips participants with tools to analyze gender gaps in data ecosystems, apply ethical AI principles, and design gender-responsive data strategies. Through real-world case studies, participants will learn how to harness big data innovations for social impact, policy reform, and sustainable development goals (SDGs).

Programme Curriculum

Gender and Big Data Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand gender-responsive data analytics and its role in inclusive governance
Apply big data technologies to identify gender disparities
Analyze algorithmic bias in AI and machine learning systems
Develop gender-sensitive data collection frameworks
Strengthen data-driven decision-making for gender equality
Integrate AI ethics and accountability into data projects
Evaluate data governance policies from a gender lens
Use predictive analytics to address gender-based challenges
Design gender-inclusive digital transformation strategies
Interpret gender-disaggregated datasets effectively
Enhance data visualization for gender insights
Promote equitable access to digital resources
Align big data initiatives with SDGs and ESG frameworks

Target Audience

Data analysts and data scientists
Gender and development specialists
Policy makers and government officials
NGO and civil society professionals
AI and technology practitioners
Monitoring & Evaluation (M&E) officers
Researchers and academics
Corporate ESG and sustainability teams

Course Modules

Module 1: Introduction to Gender and Big Data

Concepts of big data ecosystems
Understanding gender data gaps
Importance of inclusive data systems
Overview of digital inequality
Case Study: Gender data gaps in national census systems

Module 2: Gender-Disaggregated Data Collection

Techniques for inclusive data collection
Designing gender-sensitive surveys
Data quality and representation issues
Ethical considerations in data gathering
Case Study: Collecting gender data in rural communities

Module 3: Big Data Analytics and Gender Insights

Basics of data mining and analytics
Identifying patterns of inequality
Tools for gender data analysis
Interpreting large datasets
Case Study: Gender trends in employment data

Module 4: AI, Machine Learning, and Gender Bias

Understanding algorithmic bias
Fairness in AI systems
Bias detection techniques
Ethical AI frameworks
Case Study: Bias in hiring algorithms

Module 5: Data Governance and Ethics

Principles of data governance
Privacy and data protection laws
Ethical use of gender data
Accountability mechanisms
Case Study: Misuse of personal data in digital platforms

Module 6: Gender and Digital Transformation

Role of digital technologies in gender equality
Bridging the digital gender divide
Innovation for inclusive development
Gender in smart systems
Case Study: Women’s access to mobile technology

Module 7: Data Visualization and Communication

Tools for data visualization
Communicating gender insights
Storytelling with data
Dashboards and reporting
Case Study: Visualizing gender inequality trends

Module 8: Policy, SDGs, and Gender Data

Linking data to SDG 5 (Gender Equality)
Policy design using big data
Monitoring gender indicators
ESG and gender metrics
Case Study: Using big data for gender-responsive 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@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 analytics Gender-disaggregated insights Predictive modeling Evidence-based decision-making

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