Digital M&E, Data Analytics, Dashboards, Ai & Evidence Systems Course
Monitoring, Evaluation & Learning (MEL)

Digital M&E, Data Analytics, Dashboards, Ai & Evidence Systems Course

The Digital M&E, Data Analytics, Dashboards, Ai & Evidence Systems Course is a 10-day professional training programme delivered in-person or online in Monitoring, Evaluation & Learning (MEL), ending with a TrustGate Corporate Skills certificate of completion.

The Digital Monitoring, Evaluation & Learning: Data Analytics, Dashboards, AI & Evidence Systems Course is a future-focused professional programme designed to equip MEL, M&E, programme and data professionals with the knowledge and practical skills required to use digital techn...

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10 Days Expert Instructors Certificate Included Online & In-Person
Part of TrustGate's
Monitoring, Evaluation & Learning (MEL) programme
Frameworks, tools and training that turn programme data into evidence and impact.

Course Overview

The Digital Monitoring, Evaluation & Learning: Data Analytics, Dashboards, AI & Evidence Systems Course is a future-focused professional programme designed to equip MEL, M&E, programme and data professionals with the knowledge and practical skills required to use digital technologies, data analytics and artificial intelligence to strengthen monitoring, evaluation, evidence generation and management decision-making. The programme examines how digital transformation is changing the way organisations collect, manage, analyse, visualise and use programme data. Participants explore the transition from traditional, largely manual M&E processes towards more integrated digital systems capable of supporting timely data collection, real-time monitoring, automated reporting, performance analysis and evidence-based decision-making. A key component of the course focuses on digital data collection and M&E information systems. Participants examine mobile and online data-collection approaches, digital forms, databases, information flows and system requirements, while considering how different technologies can be selected and adapted to programme context and organisational needs. The programme also addresses M&E data management and quality assurance, including data validation, verification, cleaning, consistency checks, data governance and information integrity. Participants learn how digital systems can improve data quality while recognising the importance of appropriate controls, human oversight and clear data-management responsibilities. Particular attention is given to data analytics and performance measurement. Participants explore how monitoring data can be transformed into useful information through trend analysis, performance analysis, comparative analysis and evidence synthesis. The course demonstrates how analytical approaches can help managers identify performance gaps, emerging risks, patterns and opportunities for programme improvement. The programme further examines the development and use of M&E dashboards and data visualisation. Participants learn how to present complex performance information in accessible formats that support programme reviews, management meetings, strategic planning and decision-making. Emphasis is placed on selecting appropriate indicators, designing useful visualisations and communicating evidence clearly to different audiences.

Learning Objectives

  • Understand digital MEL systems.
  • Plan digital data collection.
  • Manage M&E databases.
  • Analyse programme data.
  • Develop performance dashboards.
  • Apply data visualisation.
  • Explore AI applications in MEL.
  • Improve automated reporting.
  • Strengthen evidence systems.
  • Promote responsible data use.

Course Content

  1. Digital MEL concepts
  2. Digital transformation
  3. Technology opportunities
  4. Digital MEL strategy

  1. Mobile data collection
  2. Digital forms
  3. Online surveys
  4. Field data systems

  1. MIS principles
  2. System architecture
  3. User requirements
  4. Information flows

  1. Database concepts
  2. Data structures
  3. Data management
  4. Data integration

  1. Automated validation
  2. Data verification
  3. Error management
  4. Quality controls

  1. Data preparation
  2. Descriptive analytics
  3. Trend analysis
  4. Performance analysis

  1. Dashboard principles
  2. Visualisation
  3. KPI dashboards
  4. Data storytelling

  1. AI applications in MEL
  2. Evidence synthesis
  3. Automated reporting
  4. Responsible AI use

  1. Automated reports
  2. Real-time reporting
  3. Evidence repositories
  4. Management information

  1. Data governance
  2. Cybersecurity awareness
  3. Technology selection
  4. Digital MEL implementation

Who Should Attend?

  • M&E Officers
  • MEL Managers
  • Data Analysts
  • Programme Managers
  • Information Managers
  • Digital Transformation Professionals
  • NGO Data Teams
  • Government Data Officers
  • Performance Managers
  • Development Professionals

Training Methodology

  • Digital MEL demonstrations
  • Practical data exercises
  • Dashboard workshops
  • Data visualisation activities
  • Digital system scenarios
  • AI application exercises
  • Case studies
  • Group assignments
  • Data-analysis exercises
  • Practical presentations

Is this course for you?

Level: Intermediate

Problems this course solves

  • The course addresses manual and fragmented M&E systems, poor-quality data, limited data-analysis capacity, ineffective dashboards, slow reporting and difficulty using emerging AI technologies to generate actionable evidence. It equips professionals to integrate digital M&E tools, data analytics, dashboards, AI and evidence systems to improve real-time monitoring, reporting, decision-making, accountability and organisational performance.

What's Included

Certificate of completion
Training materials included
Lunch and refreshments (physical)
Post-training support

Certification

Certificate of Professional Training in Digital M&E, Data Analytics, Dashboards, AI & Evidence Systems

Issued by: TRUSTGATE CORPORATE SKILLS

Frequently Asked Questions

How long is the Digital M&E, Data Analytics, Dashboards, Ai & Evidence Systems Course training?

The Digital M&E, Data Analytics, Dashboards, Ai & Evidence Systems Course runs for 10 Days. Each day combines expert-led teaching with practical, hands-on exercises so participants can apply what they learn immediately.

Is the Digital M&E, Data Analytics, Dashboards, Ai & Evidence Systems Course delivered online or in-person?

This course is delivered in person (scheduled venues include Nairobi, Mombasa, Kigali, Lilongwe), live online, or in-house at your organisation.

How much does the Digital M&E, Data Analytics, Dashboards, Ai & Evidence Systems Course cost?

The fee is US$1,200 per person online and US$2,800 per person in person. In-person fees depend on the participant's country; the pricing card on this page shows the fee for yours.

When is the next Digital M&E, Data Analytics, Dashboards, Ai & Evidence Systems Course training?

The next scheduled session runs from 9 November 2026 to 13 November 2026 in Nairobi, Kenya. You can also request a custom date or an in-house session for your team.

Do I get a certificate after completing the Digital M&E, Data Analytics, Dashboards, Ai & Evidence Systems Course?

Yes. Participants who complete the Digital M&E, Data Analytics, Dashboards, Ai & Evidence Systems Course receive a certificate of completion from TRUSTGATE CORPORATE SKILLS.

What will I learn in the Digital M&E, Data Analytics, Dashboards, Ai & Evidence Systems Course?

Key learning outcomes include: Understand digital MEL systems; Plan digital data collection; Manage M&E databases; Analyse programme data; Develop performance dashboards.