Project Monitoring and Evaluation with Data Management and Analysis course

Project Monitoring and Evaluation with Data Management and Analysis course

Introduction:

Welcome to the Project Monitoring and Evaluation with Data Management and Analysis course! In today's dynamic project environments, effective monitoring and evaluation (M&E) practices are crucial for ensuring project success and driving meaningful impact. This course is designed to equip participants with the knowledge, skills, and tools needed to implement robust M&E frameworks, coupled with data management and analysis techniques, to enhance project performance and accountability. Whether you're a project manager, M&E officer, data analyst, or development professional, this course will provide you with the expertise to design, implement, and manage M&E systems that leverage data for informed decision-making and continuous improvement.


Course Objectives:

  1. Comprehensive Understanding of M&E Principles: Gain a comprehensive understanding of monitoring and evaluation principles, methodologies, and best practices, including data collection, analysis, and reporting, to assess project progress and outcomes effectively.
  2. Proficiency in Data Management and Analysis: Develop proficiency in data management and analysis techniques, including data collection tools, databases, statistical analysis, and visualization, to organize, analyze, and interpret project data for actionable insights.
  3. Integration of M&E with Project Management: Learn how to integrate M&E practices seamlessly into project management processes, from project planning and implementation to monitoring, evaluation, and adaptive management, to ensure project success and impact.
  4. Strengthened Decision-making and Learning: Enhance decision-making and learning processes within organizations by leveraging data-driven insights from M&E activities to identify best practices, address challenges, and improve project performance over time.
  5. Promotion of Accountability and Transparency: Promote accountability and transparency in project management by establishing rigorous M&E frameworks that enable stakeholders to track project progress, measure outcomes, and hold project implementers accountable for results.


Organization Benefits:

  1. Improved Project Performance and Impact: Implementing robust M&E systems coupled with data management and analysis capabilities enhances project performance and impact by providing stakeholders with timely, accurate, and actionable information for decision-making and course correction.
  2. Enhanced Learning and Adaptation: Facilitating learning and adaptation within organizations through data-driven M&E processes enables teams to identify successes and challenges, learn from past experiences, and adapt strategies and interventions for greater effectiveness and sustainability.
  3. Increased Stakeholder Engagement and Ownership: Engaging stakeholders in M&E processes fosters ownership and participation in project activities, leading to greater buy-in, collaboration, and support for project goals and objectives.
  4. Greater Accountability and Transparency: Establishing transparent M&E systems promotes accountability by ensuring that project activities and outcomes are documented, reported, and reviewed in a systematic and transparent manner, reducing the risk of fraud, waste, and mismanagement.
  5. Alignment with Donor and Stakeholder Expectations: Meeting donor and stakeholder expectations for accountability, transparency, and results reporting through robust M&E practices enhances organizational credibility and trust, leading to continued support and funding for future projects.



Target Participants:

 This course is designed for project managers, monitoring and evaluation officers, data analysts, development practitioners, and other professionals involved in project implementation, monitoring, and evaluation. It is suitable for individuals with varying levels of experience in M&E and data management, from beginners to advanced practitioners, who seek to enhance their skills and knowledge in leveraging data for effective project monitoring, evaluation, and decision-making.


Course Outline:

  1. Introduction to Monitoring and Evaluation (M&E) Fundamentals
    • Overview of M&E principles, concepts, and frameworks
    • Importance of M&E for project management and impact assessment
    • Case Study: Designing an M&E framework for a community development project
  2. Data Collection Methods and Tools
    • Selection of data collection methods and tools (e.g., surveys, interviews, focus groups)
    • Designing data collection instruments and protocols
    • Case Study: Implementing mobile data collection tools for field surveys
  3. Data Management and Organization
    • Data management best practices, including data storage, cleaning, and organization
    • Introduction to databases and data management systems
    • Case Study: Developing a data management plan for a health intervention project
  4. Data Analysis Techniques
    • Statistical analysis methods for quantitative data (e.g., descriptive statistics, inferential statistics)
    • Qualitative data analysis techniques (e.g., thematic analysis, content analysis)
    • Case Study: Analyzing survey data to assess project impact
  5. Data Visualization and Reporting
    • Data visualization principles and techniques for communicating complex data
    • Developing effective data visualization tools (e.g., charts, graphs, dashboards)
    • Case Study: Creating a project dashboard to track key performance indicators
  6. Integrating M&E with Project Management
    • Aligning M&E activities with project management processes and timelines
    • Incorporating M&E findings into project planning and decision-making
    • Case Study: Integrating M&E into project management for adaptive management
  7. Ensuring Data Quality and Integrity
    • Strategies for ensuring data quality and integrity throughout the data lifecycle
    • Data validation and verification techniques
    • Case Study: Implementing quality assurance measures in data collection and management
  8. Outcome and Impact Evaluation
    • Designing outcome and impact evaluations to assess project effectiveness and sustainability
    • Methods for measuring project outcomes and impact (e.g., logic models, theory of change)
    • Case Study: Conducting an impact evaluation of a livelihoods intervention
  9. Participatory M&E Approaches
    • Engaging stakeholders in M&E processes to promote participation and ownership
    • Participatory data collection and analysis techniques
    • Case Study: Facilitating a participatory M&E workshop with project stakeholders
  10. Learning and Knowledge Management
    • Establishing systems for learning and knowledge management within organizations
    • Documenting and sharing lessons learned, best practices, and innovations
    • Case Study: Developing a knowledge management platform for an NGO
  11. Ethical Considerations in M&E
    • Ethical principles and guidelines for conducting M&E activities
    • Ensuring privacy, confidentiality, and informed consent in data collection and analysis
    • Case Study: Addressing ethical dilemmas in M&E research
  12. Using M&E for Advocacy and Decision-making
    • Leveraging M&E findings for advocacy, policy influence, and resource mobilization
    • Communicating M&E results to diverse audiences for decision-making
    • Case Study: Advocating for policy change based on M&E evidence
  13. Continuous Improvement and Adaptation
    • Establishing mechanisms for continuous improvement and adaptive management
    • Using M&E data to identify areas for improvement and adjust project strategies
    • Case Study: Implementing a feedback loop for continuous project improvement

 

Essential Information

 

  1. Our courses are customizable to suit the specific needs of participants.
  2. Participants are required to have proficiency in the English language.
  3. 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.
  4. Upon fulfilling the training requirements, participants will receive a prestigious Global King Project Management certificate.
  5. Training sessions are conducted at various Global King Project Management Centers, including locations in Nairobi, Mombasa, Kigali, Dubai, Lagos, and others.
  6. Organizations sending more than two participants from the same entity are eligible for a generous 20% discount.
  7. The duration of our courses is adaptable, and the curriculum can be adjusted to accommodate any number of days.
  8. To ensure seamless preparation, payment is expected before the commencement of training, facilitated through the Global King Project Management account.
  9. For inquiries, reach out to us via email at [email protected] or by phone at +254 114 830 889.
  10. 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.

Course Date Duration Location Registration
11/03/2024 To 22/03/2024 10 Days Nairobi Kenya
08/04/2024 To 19/04/2024 10 Days Nairobi Kenya
06/05/2024 To 17/05/2024 10 Days Dubai, UAE
03/06/2024 To 14/06/2024 10 Days Nairobi Kenya
01/07/2024 To 12/07/2024 10 Days Nairobi Kenya
29/07/2024 To 09/08/2024 10 Days Nairobi Kenya
26/08/2024 To 06/09/2024 10 Days Mombasa, Kenya
23/09/2024 To 04/10/2024 10 Days Nairobi Kenya
21/10/2024 To 01/11/2024 10 Days Dubai, UAE
18/11/2024 To 29/11/2024 10 Days Nairobi Kenya
16/12/2024 To 27/12/2024 10 Days Nairobi Kenya