Introduction
In today’s data-driven development landscape, effective Monitoring and Evaluation (M&E) is crucial for project success and accountability. This advanced course is designed to enhance participants’ skills in planning, collecting, managing, analyzing, and interpreting data to support decision-making, learning, and performance improvement. Through practical sessions, real-life case studies, and hands-on exercises using modern data collection and analysis tools, participants will gain deep insights into both quantitative and qualitative methods of data collection, management, and interpretation.
The course goes beyond the basics to cover advanced techniques in data quality assurance, digital data collection (ODK, KoboToolbox, SurveyCTO), statistical analysis (SPSS, Stata, or R), and data visualization (Excel, Power BI, or Tableau). It also integrates participatory approaches and adaptive M&E strategies for complex, multi-stakeholder projects.
Participants who successfully complete the course will receive Certificate of Participation.
Duration
This certificate course involves approximately 10 days.
Who should Attend
The course is intended for:
- Staff members of international development organisations,
- Human rights/social justice organisations
- M&E Officers and Specialists
- Project Managers and Coordinators
- Data Analysts and Research Officers
- Program Officers in NGOs, INGOs, and Government Agencies
- Development Consultants and Donors
- Professionals involved in project planning, implementation, and evaluation
- Anyone seeking advanced M&E skills and practical knowledge in data analysis
Course outline
Module 1: Introduction to Advanced M&E and Data Systems
- Overview of Results-Based M&E
- Data in the M&E Cycle
- Key Concepts: Indicators, Baselines, Targets, and Data Sources
- M&E Frameworks and Logical Framework Approach
Module 2: Designing Data Collection Systems
- Data Collection Planning
- Selecting Appropriate Data Collection Methods
- Developing Valid and Reliable Indicators
- Designing Questionnaires and Interview Guides
Module 3: Qualitative Data Collection Methods
- Key Informant Interviews (KII)
- Focus Group Discussions (FGD)
- Participatory Rural Appraisal (PRA) Techniques
- Recording and Transcribing Qualitative Data
Module 4: Quantitative Data Collection Methods
- Sampling Techniques
- Survey Design and Administration
- Pre-testing and Piloting Tools
- Digital Data Collection: KoboToolbox, ODK, SurveyCTO
Module 5: Data Quality Assurance and Management
- Principles of Data Quality
- Data Cleaning, Coding, and Storage
- Ethical Issues and Data Confidentiality
- Version Control and Backups
Module 6: Introduction to Data Analysis – Quantitative
- Descriptive and Inferential Statistics
- Using Excel/SPSS/Stata for Analysis
- Pivot Tables, Frequencies, Crosstabs
- Statistical Tests: t-tests, Chi-square, Regression
Module 7: Qualitative Data Analysis
- Thematic Analysis and Coding
- Using NVivo or Manual Coding Techniques
- Triangulation of Data Sources
- Presenting Qualitative Findings
Module 8: Data Visualization and Reporting
- Data Visualization Principles
- Using Excel, Power BI, or Tableau
- Designing Dashboards for M&E Reports
- Crafting Insightful Narratives with Data
Module 9: Adaptive M&E and Real-Time Data Use
- Using Data for Decision Making
- Feedback Loops and Adaptive Management
- Real-time Dashboards and Mobile-based Monitoring
- Case Studies of Adaptive M&E Systems
Module 10: Capstone Project and Action Planning
- Group Work: End-to-End M&E Data Project
- Presentation of Data Collection and Analysis Plans
- Course Review and Evaluation
- Developing Personal/Organizational M&E Improvement Plans
General Notes
- The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.
- The participants should be reasonably proficient in English as all facilitation and course materials will be offered in English.
- Upon successful completion of this training, participants will be issued with a certificate.
- The training will be held at Kincaid Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.
- All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.
- Accommodation and airport pickup are arranged upon request. For reservations contact the Training coordinator at Email: training@kincaiddevelopmentcenter.org or Tel: +254 724592901
- This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our Kincaid Training Centre or at a convenient location.
For further inquiries, please contact us on Tel: +254 724592901 or send mail to training@kincaiddevelopmentcenter.org
Payments are due upon registration. Payment should be sent to our Bank account before commencement of training and proof of payment sent to training@kincaiddevelopmentcenter.org