Monitoring and Evaluation for SDGs Training Course

Monitoring and Evaluation for SDGs Training Course

Introduction

Monitoring and Evaluation for SDGs Training Course is designed to equip professionals with the strategic, analytical, and practical skills required to track, assess, and optimize SDG-related programs and projects. Leveraging evidence-based approaches, data-driven decision-making, and global best practices, this course enables participants to enhance accountability, improve program efficiency, and strengthen policy implementation. Participants will gain a deep understanding of the SDG framework, indicators, results-based management (RBM), and impact evaluation techniques, positioning them as experts in monitoring progress and driving sustainable outcomes.

This course emphasizes hands-on learning, interactive case studies, and real-world applications, providing learners with practical tools to design M&E frameworks, collect and analyze data, and report findings effectively. With a focus on innovation, technology integration, and results-oriented evaluation, participants will learn how to bridge the gap between policy, practice, and sustainable development outcomes. The course also covers emerging trends such as digital M&E tools, AI-driven analytics, participatory evaluation, and SDG impact measurement, ensuring participants are equipped to tackle contemporary challenges in sustainable development initiatives.

Course Duration

5 days

Course Objectives

By the end of this course, participants will be able to:

1. Develop robust M&E frameworks aligned with SDG targets.
2. Apply data-driven decision-making for program improvement.
3. Utilize results-based management (RBM) for accountability.
4. Conduct impact assessments and evaluations using international standards.
5. Integrate digital tools and dashboards for real-time monitoring.
6. Analyze and interpret quantitative and qualitative data effectively.
7. Strengthen policy implementation and reporting for SDG programs.
8. Foster participatory monitoring with communities and stakeholders.
9. Identify key performance indicators (KPIs) for program success.
10. Apply risk management strategies in M&E.
11. Communicate evidence-based insights to decision-makers.
12. Track and measure progress towards SDGs at national and local levels.
13. Implement innovative M&E approaches including AI, GIS, and mobile data collection.

Target Audience

1. M&E Officers and Specialists
2. Program Managers and Coordinators
3. Government and Policy Analysts
4. NGO and CSO Staff
5. Development Practitioners
6. Researchers and Academics
7. Data Analysts and Statisticians
8. SDG Project Implementers

Course Modules

Module 1: Introduction to M&E for SDGs

• Understanding SDGs and global development agendas
• Principles and standards of M&E
• Linking M&E to policy and decision-making
• inputs, outputs, outcomes, impact
• Case Study: Tracking SDG progress in Kenya

Module 2: Designing M&E Frameworks

• Developing logic models and results frameworks
• Setting SMART indicators for SDGs
• Aligning M&E with program objectives
• Budgeting for M&E activities
• Case Study: Designing an M&E framework for a health project

Module 3: Data Collection Methods

• Quantitative and qualitative techniques
• Survey design and sampling methods
• Remote sensing and GIS applications
• Mobile data collection tools
• Case Study: Water and sanitation project monitoring

Module 4: Data Analysis and Interpretation

• Statistical analysis for M&E
• Data visualization and dashboards
• Trend analysis for SDG targets
• Data quality assurance
• Case Study: Evaluating education program outcomes

Module 5: Results-Based Management (RBM)

• Linking activities to outcomes
• Monitoring KPIs and performance indicators
• Outcome harvesting and impact evaluation
• Reporting and accountability mechanisms
• Case Study: RBM in local government SDG initiatives

Module 6: Participatory M&E

• Engaging stakeholders and communities
• Participatory data collection techniques
• Empowering beneficiaries through evaluation
• Managing feedback and learning loops
• Case Study: Community-led monitoring of sanitation programs

Module 7: Innovative M&E Tools and Technologies

• Digital dashboards and mobile applications
• AI and machine learning in M&E
• Remote monitoring using drones and satellites
• Cloud-based M&E platforms
• Case Study: Technology-driven monitoring in urban development

Module 8: Reporting, Learning, and Policy Influence

• Writing M&E reports for diverse audiences
• Using findings for advocacy and policy change
• Knowledge management and learning systems
• Communicating impact through storytelling
• Case Study: SDG policy influence through evidence-based reporting

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.