Monitoring & Evaluation Data Analytics Training Program

Date and Time

Date: Aug 17–19, 2026, 8:30 AM – 5:00 PM

Venue

Kigali, Rwanda.

Overview

The Monitoring & Evaluation (M&E) Data Analytics Training Program is designed to equip M&E professionals and decision-makers with the skills to analyze, interpret, visualize, and use data effectively for program performance, learning, accountability, and strategic decision-making.

The program bridges the gap between data collection and data use, focusing on practical analytics, dashboards, data quality, visualization, and evidence-based reporting in development, public sector, and donor-funded programs.

Learning Objectives

By the end of the program, participants will be able to:

• Analyze M&E data using appropriate analytical techniques

• Ensure data quality, consistency, and reliability

• Interpret quantitative and qualitative data for decision-making

• Develop clear dashboards and visualizations

• Communicate data-driven insights to diverse stakeholders

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Training Benefits

Participants will gain:

• Stronger data analysis and interpretation skills

• Improved evidence-based decision-making capacity

• Enhanced ability to demonstrate results and impact

• Practical skills in data visualization and reporting

• Better integration of data into program management and learning

• Increased professional credibility in M&E analytics

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Who Should Attend

• This program is ideal for:
• • Monitoring & Evaluation officers and specialists
• • Program and project managers
• • Data analysts and research officers
• • Government planning and M&E staff
• • NGO and development organization professionals
• • Donor-funded program staff
• • Policy analysts and results managers

Workshop Outline / Modules

Module 1: Foundations of M&E Data Analytics

• Role of data analytics in M&E

• Types of M&E data (quantitative and qualitative)

• From data collection to data use

Module 2: Data Management & Quality Assurance

• Data management systems

• Data cleaning and validation

• Data quality standards and assessments

Module 3: Indicators, Metrics & Data Structures

• Designing measurable indicators

• Data structures and databases for M&E

• Managing indicator frameworks

Module 4: Quantitative Data Analysis for M&E

• Descriptive statistics and trend analysis

• Basic inferential concepts

• Interpreting quantitative results

Module 5: Qualitative Data Analysis

• Coding and thematic analysis

• Integrating qualitative insights

• Mixed-methods analysis

Module 6: Data Visualization & Dashboards

• Principles of data visualization

• Charts, tables, and dashboards for M&E

• Communicating results visually

Module 7: Data Analysis for Decision-Making

• Using analytics to improve programs

• Adaptive management and learning

• Evidence-based planning

Module 8: Reporting, Data Storytelling & Communication

• Writing analytical M&E reports

• Data storytelling for different audiences

• Presenting findings to management and donors

Module 9: Ethics, Data Protection & Analytics Action Planning

• Ethical considerations in data analytics

• Data privacy and protection

• Developing an M&E data analytics action plan

Facilitator

Global Leadership Institute Trainers

Investment / Fees

• Standard Fee: USD 850 per participant
• Includes training materials, lunch, tea/coffee breaks, and certificate.

Registration Deadline

Aug 15,2026

How to Register

• Register here: https://www.leadership.rw/register/ or click “Register/Apply to Attend”.
• Then, payment details will be shown/visible & automatically emailed to you.
• Once payment is received, you’ll get a confirmation & pre-read pack 1 week before the workshop.
• Need help? Call +250 738 713 619‬ (9 AM–5 PM EAT).

REGISTER NOW / APPLY TO ATTEND