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Excel for Monitoring and Evaluation Training Course

Online Training Download PDF

Upcoming Training Schedules 14 locations

Location	Duration	Next Start Date	Dates Available	Action
Nairobi, Kenya	10 days	Jul 13, 2026	104 dates
Accra, Ghana	10 days	Jul 20, 2026	31 dates
Addis Ababa, Ethiopia	10 days	Jul 13, 2026	31 dates
Cape Town, South Africa	10 days	Jul 13, 2026	52 dates
Dar es Salaam, Tanzania	10 days	Aug 10, 2026	26 dates
Dubai, UAE	10 days	Jul 13, 2026	52 dates
Istanbul, Turkey	10 days	Aug 10, 2026	16 dates
Kampala, Uganda	10 days	Sep 7, 2026	31 dates
Kigali, Rwanda	10 days	Jul 20, 2026	52 dates
Kuala Lumpur, Malaysia	10 days	Jul 13, 2026	31 dates
Mombasa, Kenya	10 days	Jul 20, 2026	52 dates
Pretoria, South Africa	10 days	Jul 13, 2026	52 dates
Singapore	10 days	Jul 20, 2026	31 dates
Zanzibar, Tanzania	10 days	Aug 24, 2026	16 dates

Excel for Monitoring and Evaluation Training Course

Course Overview

The Excel for Monitoring and Evaluation Training Course is a comprehensive professional development program designed to equip participants with the knowledge, methodologies, and practical competencies required to utilize Microsoft Excel for data management, monitoring and evaluation, statistical analysis, reporting, and evidence-based decision-making. In today's results-oriented environment, governments, donor agencies, non-governmental organizations, humanitarian institutions, healthcare organizations, research institutions, and private sector entities increasingly rely on efficient data management and analytical tools to monitor project performance, measure outcomes and impacts, evaluate interventions, and inform strategic planning processes. This course provides participants with practical approaches for using Microsoft Excel to organize, analyze, visualize, and report monitoring and evaluation data to improve organizational performance and sustainable development outcomes.

Modern monitoring and evaluation systems generate large volumes of quantitative and qualitative information from surveys, project databases, management information systems, and field monitoring activities. Microsoft Excel remains one of the world's most widely used and accessible data analysis and reporting tools due to its flexibility, analytical capabilities, automation features, and visualization functionalities. Effective utilization of Excel requires a sound understanding of data management principles, statistical concepts, monitoring and evaluation methodologies, data quality assurance procedures, and reporting frameworks. This course introduces participants to internationally recognized concepts and best practices in data management, indicator tracking, dashboard development, data visualization, and evidence generation using Microsoft Excel technologies.

The training emphasizes practical application and experiential learning through demonstrations, simulations, hands-on exercises, practical assignments, case studies, and collaborative group activities. Participants will gain practical experience in spreadsheet management, data entry and validation, data cleaning and transformation, descriptive and inferential analysis, pivot tables, formulas and functions, dashboards, charts, automated reporting systems, and performance measurement frameworks. The course also explores advanced analytical techniques that support monitoring and evaluation systems, strengthen accountability and transparency mechanisms, improve organizational learning, and facilitate evidence-based planning and decision-making processes.

Upon successful completion of this course, participants will possess the competencies necessary to effectively utilize Microsoft Excel for monitoring and evaluation, data analysis, reporting, and evidence generation. The knowledge and practical skills acquired through this training will enable professionals to strengthen information systems, improve data quality and reporting, optimize project performance, enhance donor compliance, and contribute to organizational excellence and sustainable development outcomes.

Course Objectives

1. Understand the concepts, principles, and applications of Microsoft Excel in monitoring and evaluation and research.

2. Develop practical skills in spreadsheet management and data organization techniques.

3. Apply data entry, validation, cleaning, and quality assurance procedures using Excel.

4. Conduct descriptive and inferential data analysis using Excel tools and functions.

5. Utilize formulas, functions, and analytical features for monitoring and evaluation reporting.

6. Develop performance dashboards and data visualization products using Excel.

7. Apply indicator tracking and performance measurement techniques using spreadsheets.

8. Generate automated reports and evidence-based analytical summaries.

9. Interpret analytical findings and communicate recommendations effectively.

10. Strengthen organizational decision-making through efficient data management and analysis.

Organizational Benefits

1. Improved organizational capacity for data management and reporting.

2. Enhanced monitoring and evaluation and performance measurement systems.

3. Strengthened evidence-based planning and strategic decision-making processes.

4. Improved data quality management and information reliability.

5. Enhanced donor reporting and compliance with performance requirements.

6. Increased efficiency in data processing and analytical reporting.

7. Strengthened organizational learning and knowledge management practices.

8. Enhanced accountability and transparency mechanisms.

9. Improved performance monitoring and project management capabilities.

10. Improved project outcomes and sustainable development results.

Target Participants

This course is designed for Monitoring and Evaluation Officers, Project Managers, Program Managers, Government Officials, NGO Professionals, Humanitarian Program Managers, Researchers, Survey Coordinators, Data Analysts, Information Management Officers, Strategic Planning Officers, Development Practitioners, Donor-Funded Project Personnel, Healthcare Professionals, Finance and Administrative Officers, Consultants, Corporate Social Responsibility Managers, Academic Researchers, and professionals responsible for monitoring and evaluation, research, data management, performance measurement, reporting, and evidence generation.

Course Outline

Module 1: Introduction to Excel and Monitoring and Evaluation Concepts

· Overview of Microsoft Excel and its applications in monitoring and evaluation

· Concepts and principles of data management and evidence generation

· Understanding Excel interface and spreadsheet components

· Workbook and worksheet management techniques

· Data types and information management concepts

· Best practices in spreadsheet design and organization

Case Study: Designing an Excel-based monitoring and evaluation system for a community health project.

Module 2: Data Entry and Spreadsheet Management

· Data entry procedures and spreadsheet organization techniques

· Formatting worksheets and managing datasets efficiently

· Creating and managing tables and structured references

· Managing multiple worksheets and workbooks

· Data sorting and filtering methodologies

· Spreadsheet protection and security practices

Case Study: Developing data management templates for education sector monitoring activities.

Module 3: Data Validation and Quality Assurance

· Principles of data quality management and assurance

· Data validation techniques and controls

· Identification and correction of data errors

· Management of duplicates and inconsistencies

· Missing data management methodologies

· Data verification and auditing procedures

Case Study: Conducting data quality assessments for donor-funded household survey databases.

Module 4: Formulas and Functions for Data Analysis

· Introduction to formulas and analytical functions

· Mathematical and statistical functions for data analysis

· Logical functions and conditional statements

· Text and date functions for information management

· Lookup and reference functions

· Formula auditing and troubleshooting methodologies

Case Study: Developing automated performance indicator calculations for health projects.

Module 5: Descriptive Statistical Analysis

· Frequency distributions and summary statistics

· Measures of central tendency and variability

· Comparative and trend analysis techniques

· Data summarization methodologies

· Interpretation of descriptive statistical findings

· Preparation of analytical summaries and reports

Case Study: Analyzing demographic and socioeconomic survey datasets for social protection programs.

Module 6: Pivot Tables and Advanced Data Analysis

· Principles and applications of Pivot Tables

· Creating and managing Pivot Tables and Pivot Charts

· Data aggregation and summarization techniques

· Comparative analysis and multidimensional reporting

· Dynamic reporting methodologies

· Interpretation and presentation of analytical findings

Case Study: Preparing multidimensional reports for agricultural productivity monitoring programs.

Module 7: Charts and Data Visualization

· Principles of data visualization and graphical communication

· Development of charts and graphs for reporting purposes

· Selection of appropriate visualization techniques

· Dashboard design principles and methodologies

· Presentation of performance indicators and trends

· Communication of analytical findings using visuals

Case Study: Designing graphical reports for nutrition and food security monitoring programs.

Module 8: Dashboard Development and Performance Monitoring

· Concepts and principles of dashboard development

· Development of interactive monitoring dashboards

· Integration of performance indicators and scorecards

· Performance tracking and trend analysis methodologies

· Dashboard automation and updating procedures

· Utilization of dashboards for management decision-making

Case Study: Developing organizational performance dashboards for donor-funded programs.

Module 9: Indicator Tracking and Reporting Systems

· Development and management of monitoring indicators

· Indicator tracking methodologies and reporting frameworks

· Analysis of output, outcome, and impact indicators

· Monitoring data integration and management procedures

· Preparation of performance reports and scorecards

· Utilization of indicator reports for adaptive management

Case Study: Monitoring maternal and child health indicators using Excel-based systems.

Module 10: Automated Reporting and Reporting Templates

· Principles of reporting automation and workflow management

· Development of automated reporting templates

· Linking and integrating datasets and reports

· Preparation of executive summaries and analytical reports

· Documentation and reporting standards

· Quality assurance in reporting processes

Case Study: Automating monthly project performance reports for humanitarian programs.

Module 11: Monitoring and Evaluation Data Analysis Applications

· Analysis of baseline, midline, and endline survey datasets

· Comparative analysis and trend assessment methodologies

· Outcome and impact measurement techniques

· Utilization of analytical outputs for program evaluation

· Interpretation of monitoring and evaluation findings

· Development of evidence-based recommendations

Case Study: Evaluating educational intervention outcomes using Excel analytical techniques.

Module 12: Capstone Project and Organizational Application of Excel

· Design and implementation of comprehensive analytical projects

· Development of integrated monitoring and evaluation systems

· Preparation and presentation of analytical reports and dashboards

· Development of evidence-based action plans and recommendations

· Institutionalization of information management systems and practices

· Emerging trends and innovations in spreadsheet analytics and reporting technologies

Case Study: Designing and implementing a comprehensive Excel-based monitoring and evaluation information system for multi-sector development and humanitarian programs.

General Information

1. Customized Training: All our courses can be tailored to meet the specific needs of participants.

2. Language Proficiency: Participants should have a good command of the English language.

3. 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.

4. Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).

5. 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.

6. Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.

7. 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.

8. Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.

9. Equipment: Tablets and laptops can be provided to participants at an additional cost.

10. Post-Training Support: We offer one year of free consultation and coaching after the course.

11. Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.

12. 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.

13. Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.

14. Website: Visit our website at www.fdc-k.org for more information.

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training@fdc-k.org • +254 712 260 031 • Nairobi, Kenya