Course Date |
Duration |
Location |
Registration |
09/09/2024
To 20/09/2024 |
10 Days |
Nairobi Kenya |
|
|
|
23/09/2024
To 04/10/2024 |
10 Days |
Dar es salaam, Tanzania |
|
|
|
07/10/2024
To 18/10/2024 |
10 Days |
Nairobi Kenya |
|
|
|
21/10/2024
To 01/11/2024 |
10 Days |
Mombasa, Kenya |
|
|
|
21/10/2024
To 01/11/2024 |
10 Days |
Mombasa, Kenya |
|
|
|
04/11/2024
To 15/11/2024 |
10 Days |
Kigali,Rwanda |
|
|
|
18/11/2024
To 29/11/2024 |
10 Days |
Nairobi Kenya |
|
|
|
02/12/2024
To 13/12/2024 |
10 Days |
Nairobi, Kenya |
|
|
|
16/12/2024
To 27/12/2024 |
10 Days |
Mombasa, Kenya |
|
|
|
23/12/2024
To 03/01/2025 |
10 Days |
Dar es salaam, Tanzania |
|
|
|
06/01/2025
To 17/01/2025 |
10 Days |
Nairobi Kenya |
|
|
|
03/02/2025
To 14/02/2025 |
10 Days |
Mombasa, Kenya |
|
|
|
17/02/2025
To 28/02/2025 |
10 Days |
Dar es salaam, Tanzania |
|
|
|
03/03/2025
To 14/03/2025 |
10 Days |
Nairobi Kenya |
|
|
|
17/03/2025
To 28/03/2025 |
10 Days |
Kigali,Rwanda |
|
|
|
31/03/2025
To 11/04/2025 |
10 Days |
Nairobi Kenya |
|
|
|
28/04/2025
To 09/05/2025 |
10 Days |
Nairobi Kenya |
|
|
|
26/05/2025
To 06/06/2025 |
10 Days |
Nairobi Kenya |
|
|
|
09/06/2025
To 20/06/2025 |
10 Days |
Pretoria, South Africa |
|
|
|
Project Monitoring and Evaluation with Data Management and Analysis Course
Introduction
Effective project monitoring and evaluation (M&E) are critical components of successful project management, ensuring that projects meet their goals and deliver intended impacts. The Project Monitoring and Evaluation with Data Management and Analysis course is designed to equip professionals with the skills and tools necessary to monitor, evaluate, and manage data for projects across various sectors. This course focuses on the entire M&E process, from planning and data collection to analysis and reporting, integrating modern data management techniques to enhance decision-making and project outcomes. With a strong emphasis on real-world applications, this course ensures that participants can effectively apply M&E principles to their projects, whether in development, business, or government sectors.
Data management and analysis play a crucial role in the M&E process, allowing project managers to make informed decisions based on accurate and timely information. This course covers the essential techniques for managing large datasets, ensuring data quality, and using statistical tools to analyze project data. Participants will learn how to create comprehensive M&E frameworks, design data collection instruments, and interpret data to assess project performance.
The course is tailored for professionals involved in project management, including M&E specialists, project coordinators, data analysts, and researchers. It provides a solid foundation in both the theoretical and practical aspects of M&E, with a focus on integrating data management and analysis into the M&E process. Participants will gain hands-on experience with tools such as SPSS, R, Python and Excel, learning how to analyze data and generate reports that support project decision-making.
By the end of this course, participants will be able to design and implement robust M&E systems that incorporate effective data management practices. They will be equipped to handle the challenges of data collection, analysis, and reporting, ensuring that their projects deliver measurable results. This course is essential for organizations looking to enhance their project outcomes through improved M&E and data management practices.
Course Objectives
- Understand the principles and practices of project monitoring and evaluation.
- Develop and implement effective M&E frameworks aligned with project goals.
- Learn advanced data management techniques for M&E.
- Gain proficiency in data collection methods and tools.
- Analyze project data using statistical software and techniques.
- Develop indicators for measuring project performance and impact.
- Create comprehensive M&E reports that inform decision-making.
- Explore strategies for integrating M&E findings into project planning.
- Understand the role of M&E in promoting learning and accountability.
- Apply M&E best practices to real-world projects through case studies.
Organization Benefits
- Improved project performance through effective monitoring and evaluation.
- Enhanced capacity for data-driven decision-making within the organization.
- Strengthened accountability and transparency in project management.
- Increased ability to measure and demonstrate project impact.
- Development of a culture of continuous learning and improvement.
- Better resource allocation based on M&E findings.
- Ability to meet donor and stakeholder reporting requirements.
- Enhanced organizational reputation through successful project outcomes.
- Improved risk management through early identification of issues.
- Support for sustainable development goals through evidence-based practices.
Target Participants
- Project managers and coordinators.
- Monitoring and Evaluation (M&E) specialists.
- Data analysts and researchers.
- Program officers in NGOs and development organizations.
- Public sector professionals involved in project management.
- Private sector professionals managing corporate social responsibility (CSR) projects.
- Donor and funding agency representatives.
- Consultants specializing in project evaluation.
- University lecturers and academics teaching M&E.
- Anyone involved in the implementation and oversight of projects.
Course Outline
Module 1: Introduction to Monitoring and Evaluation (M&E)
- Overview of M&E concepts and principles.
- The role of M&E in project management.
- Developing M&E frameworks and systems.
- Case study: Successful M&E frameworks in development projects.
- Practical exercise: Designing an M&E framework for a hypothetical project.
- Discussion: Challenges and opportunities in M&E.
Module 2: Indicator Development and Measurement
- Types of indicators (input, output, outcome, impact).
- Selecting appropriate indicators for project goals.
- Indicator baselines and targets.
- Case study: Developing indicators
- Practical exercise: Creating indicators for a given project scenario.
- Discussion: The importance of clear and measurable indicators.
Module 3: Data Collection Methods and Tools
- Qualitative vs. quantitative data collection methods.
- Surveys, interviews, and focus groups.
- Data collection tools and technologies.
- Case study: Data collection in a rural development project.
- Practical exercise: Designing a data collection tool.
- Discussion: Ethical considerations in data collection.
Module 4: Data Management and Storage
- Data entry and database management.
- Ensuring data quality and integrity.
- Data security and privacy considerations.
- Case study: Managing large datasets in a national project.
- Practical exercise: Setting up a data management system.
- Discussion: Best practices for data management in M&E.
Module 5: Data Analysis Techniques
- Descriptive and inferential statistics in M&E.
- Using statistical software (e.g., SPSS, R) for data analysis.
- Interpreting data and generating insights.
- Case study: Analyzing data from an education project.
- Practical exercise: Conducting a data analysis using sample data.
- Discussion: Challenges in interpreting M&E data.
Module 6: Reporting and Communication of M&E Findings
- Writing comprehensive M&E reports.
- Visualizing data for better understanding.
- Presenting findings to stakeholders.
- Case study: M&E reporting in a donor-funded project.
- Practical exercise: Creating an M&E report and presentation.
- Discussion: Effective communication strategies for M&E findings.
Module 7: Integrating M&E with Project Planning and Implementation
- Using M&E findings to inform project planning.
- Adaptive management and continuous improvement.
- Engaging stakeholders in the M&E process.
- Case study: Integrating M&E in a community development project.
- Practical exercise: Revising project plans based on M&E data.
- Discussion: The role of M&E in adaptive project management.
Module 8: Data-Driven Decision Making in M&E
- Understanding the importance of evidence-based decisions.
- Tools and techniques for making data-driven decisions.
- Case study: Data-driven decision-making
- Practical exercise: Analyzing data to inform project decisions.
- Discussion: Overcoming barriers to data-driven decision-making.
Module 9: Managing M&E Teams and Resources
- Building and leading an effective M&E team.
- Resource allocation for M&E activities.
- Case study: Resource management in a multi-sectoral M&E project.
- Practical exercise: Budgeting for M&E activities.
- Discussion: Strategies for managing M&E teams effectively.
Module 10: Evaluation Design and Methodology
- Overview of different evaluation designs.
- Choosing the appropriate evaluation methodology.
- Case study: Evaluating a gender empowerment project.
- Practical exercise: Designing an evaluation for a given project.
- Discussion: The pros and cons of different evaluation designs.
Module 11: Learning and Accountability in M&E
- Fostering a culture of learning within organizations.
- Ensuring accountability through M&E.
- Case study: Promoting learning and accountability in an NGO.
- Practical exercise: Developing a learning strategy for an organization.
- Discussion: The relationship between M&E and organizational learning.
Module 12: Challenges and Innovations in M&E
- Common challenges in M&E and how to overcome them.
- Innovations in M&E tools and approaches.
- Case study: Leveraging technology in M&E.
- Practical exercise: Identifying innovative solutions to M&E challenges.
- Discussion: The future of M&E in project management.
General Information
- Customized Training: All our courses can be tailored to meet the specific needs of participants.
- Language Proficiency: Participants should have a good command of the English language.
- Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
- Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
- Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
- Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
- Onsite Training Inclusions: 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 their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
- Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.
- Equipment: Tablets and laptops can be provided to participants at an additional cost.
- Post-Training Support: We offer one year of free consultation and coaching after the course.
- Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.
- Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
- Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
- Website: Visit our website at www.fdc-k.org for more information.
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