Course Overview

Data Analysis for Sustainable Development Goals (SDGs) is a specialized training program designed to equip professionals with the knowledge and skills required to collect, manage, analyze, visualize, and interpret data for monitoring and evaluating progress toward the United Nations Sustainable Development Goals (SDGs). As governments, development organizations, NGOs, research institutions, donor agencies, and private sector organizations work to achieve the 2030 Agenda for Sustainable Development, the demand for robust SDG data analytics, sustainable development monitoring, impact evaluation, data-driven policymaking, development indicators analysis, and evidence-based reporting continues to grow. This comprehensive course provides participants with practical expertise in SDG indicators, statistical analysis, data visualization, performance measurement, and sustainable development reporting.

The training explores modern frameworks for SDG monitoring and evaluation, focusing on the collection and analysis of socioeconomic, environmental, governance, health, education, poverty, gender, climate, and economic development data. Participants will learn how to work with national statistics, survey data, administrative records, geospatial information, and open data sources to measure progress against SDG targets and indicators. The course combines theoretical understanding with practical applications using real-world datasets and sustainable development scenarios.

Participants will gain hands-on experience in indicator development, data quality assessment, trend analysis, dashboard creation, geospatial mapping, statistical modeling, and policy-oriented reporting. The course examines how SDG analytics can support strategic planning, resource allocation, program evaluation, impact assessment, accountability frameworks, and national development strategies. Through practical exercises and case studies, participants will learn how to transform development data into actionable insights that support sustainable growth and inclusive development.

The training also addresses emerging trends in sustainable development analytics, including artificial intelligence for development, big data for SDGs, machine learning applications, remote sensing, climate data analytics, real-time monitoring systems, open government data platforms, and digital transformation for sustainable development. Participants will develop competencies that enable them to support national and international efforts toward achieving the SDGs through effective data analysis and evidence generation.

Course Objectives

1. Understand the Sustainable Development Goals (SDGs) framework and indicator system.

2. Collect, manage, and analyze data related to SDG targets and indicators.

3. Apply statistical techniques to measure development outcomes and impacts.

4. Conduct trend analysis and performance monitoring for SDG reporting.

5. Develop SDG dashboards, scorecards, and data visualization tools.

6. Analyze socioeconomic, environmental, and governance datasets.

7. Utilize geospatial and open data sources for SDG monitoring.

8. Strengthen evidence-based policymaking and development planning.

9. Prepare professional SDG monitoring and evaluation reports.

10. Apply emerging technologies to improve sustainable development analytics.

Organizational Benefits

1. Improved capacity for SDG monitoring and reporting.

2. Enhanced evidence-based policy and program development.

3. Better tracking of development outcomes and impacts.

4. Improved resource allocation and strategic planning.

5. Enhanced accountability and transparency in development initiatives.

6. Stronger monitoring and evaluation systems.

7. Better integration of data into decision-making processes.

8. Improved stakeholder communication and reporting.

9. Increased effectiveness of development programs and interventions.

10. Enhanced contribution to national and global sustainable development agendas.

Target Participants

· Monitoring and Evaluation (M&E) professionals

· Development practitioners and project managers

· Government planning and statistics officers

· Researchers and policy analysts

· NGO and humanitarian program staff

· Sustainable development specialists

· Data analysts and business intelligence professionals

· International development consultants

· SDG focal persons and coordinators

· Academic researchers and university faculty

· Donor-funded project staff

· Graduate and postgraduate students in development studies, economics, public policy, and statistics

Course Outline

Module 1: Introduction to SDGs and Development Data Analytics

1. Overview of the Sustainable Development Goals framework

2. Understanding SDG targets and global indicators

3. Principles of sustainable development measurement

4. Data ecosystems for SDG monitoring

5. National and international SDG reporting mechanisms

6. Role of analytics in achieving sustainable development outcomes

Case Study:
Developing a national SDG monitoring framework to track progress across multiple development sectors.

Module 2: SDG Data Collection, Management, and Quality Assurance

1. Sources of SDG-related data and information

2. Survey, administrative, and census data management

3. Data quality assessment and validation techniques

4. Metadata standards and documentation practices

5. Open data platforms and SDG databases

6. Data governance and ethical considerations

Case Study:
Improving data quality and consistency for SDG indicator reporting across government departments.

Module 3: Statistical Analysis of SDG Indicators

1. Descriptive statistics for SDG measurement

2. Indicator calculation and benchmarking techniques

3. Trend analysis and performance monitoring

4. Comparative analysis across regions and populations

5. Inequality and inclusion analysis using SDG data

6. Statistical interpretation and evidence generation

Case Study:
Analyzing poverty, education, and health indicators to assess regional development disparities.

Module 4: Geospatial Analytics and Visualization for SDGs

1. Introduction to GIS and spatial data for development

2. Mapping SDG indicators and development outcomes

3. Remote sensing applications for SDG monitoring

4. Data visualization and dashboard development

5. Interactive reporting and stakeholder communication

6. Geospatial decision-support systems

Case Study:
Using geospatial analytics to identify underserved communities and prioritize development interventions.

Module 5: Monitoring, Evaluation, and Impact Assessment for SDGs

1. Results-based management and SDG performance measurement

2. Monitoring frameworks and indicator tracking systems

3. Impact evaluation methodologies for development programs

4. Outcome and impact analysis techniques

5. Evidence-based policymaking and planning

6. Reporting progress toward SDG targets

Case Study:
Evaluating the impact of a multi-sector development program on SDG-related outcomes.

Module 6: Advanced SDG Analytics and Future Trends

1. Big data and artificial intelligence for sustainable development

2. Predictive analytics and SDG forecasting models

3. Climate change and environmental data analytics

4. Real-time monitoring and digital development platforms

5. Integrated SDG data ecosystems and interoperability

6. Future trends in sustainable development analytics

Case Study:
Designing an integrated SDG analytics framework that combines statistical analysis, geospatial intelligence, predictive modeling, dashboard reporting, impact evaluation, open data systems, and AI-powered decision support to improve sustainable development planning, policy implementation, resource allocation, and progress monitoring toward the 2030 Agenda.

Essential Information

Our courses are customizable to suit the specific needs of participants.
Participants are required to have proficiency in the English language.
Our training sessions feature comprehensive guidance through presentations, practical exercises, web-based tutorials, and collaborative group activities. Our facilitators boast extensive expertise, each with over a decade of experience.
Upon fulfilling the training requirements, participants will receive a prestigious Global King Project Management certificate.
Training sessions are conducted at various Global King Project Management Centers, including locations in Nairobi, Mombasa, Kigali, Dubai, Lagos, and others.
Organizations sending more than two participants from the same entity are eligible for a generous 20% discount.
The duration of our courses is adaptable, and the curriculum can be adjusted to accommodate any number of days.
To ensure seamless preparation, payment is expected before the commencement of training, facilitated through the Global King Project Management account.
For inquiries, reach out to us via email at training@globalkingprojectmanagement.org or by phone at +254 114 830 889.
Additional amenities such as tablets and laptops are available upon request for an extra fee. The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a certificate of successful completion. Participants are responsible for arranging and covering their travel expenses, including airport transfers, visa applications, dinners, health insurance, and any other personal expenses.

Data Analysis for Sustainable Development Goals (SDGs) Training Course