Course Overview:

This 10-day intensive course provides professionals and practitioners with the skills and tools needed to effectively monitor, evaluate, and manage data in development and project settings. Participants will gain hands-on experience in designing M&E frameworks, collecting and analyzing project data, and applying insights for adaptive project management and impact-driven decision-making.

Designed for individuals involved in project management, evaluation, and development work, the course combines theory with practical exercises using real-world scenarios and data tools such as Excel, SPSS, and R. 🌍📊

What You’ll Learn:

• Key principles of Monitoring and Evaluation (M&E)
• How to develop logical frameworks and results-based approaches
• Design and use of indicators, baselines, and performance targets
• Tools for qualitative and quantitative data collection
• Best practices in data validation, cleaning, and analysis
• Use of mobile tools (ODK) and data visualization techniques
• Gender integration and stakeholder-focused reporting
• Strategies for using data to inform decisions and improve projects
• Practical application of theory of change and impact evaluation methods

Course Modules:

Module 1: Fundamentals of M&E & Project Analysis

• Key M&E concepts, participatory approaches, needs assessments

Module 2: Results-Based Monitoring & Indicators

• Results chains, indicator development and tracking frameworks

Module 3: Logical Framework & Theory of Change

• Logframe tools, risk assessment, ToC development case study

Module 4: M&E Systems & Planning

• M&E system components, planning documents, performance plans

Module 5: Baseline Studies & Performance Evaluation

• Study design, progress evaluations, research dissemination

Module 6: Data Management & Results Use

• Data sources, collection methods, quality assessment, stakeholder reporting

Module 7: Gender & Data Collection Tools

• Gender-sensitive M&E, participatory techniques, data triangulation

Module 8: Data Quality & ICT in M&E

• Standards, assessments, mobile tools (ODK), dashboards

Module 9: Data Analysis (Qualitative & Quantitative)

• SPSS/Stata/R, descriptive/inferential statistics, thematic analysis

Module 10: Impact Assessment

• Attribution, counterfactuals, evaluation methods (RCTs, PSM, DD)

Who Should Attend: Project managers, M&E officers, data analysts, development practitioners, NGO and donor staff, and anyone responsible for tracking project performance and results.

Duration: 10 Days