About This Course
In today's data-rich development environment, the ability to communicate monitoring and evaluation findings clearly and persuasively is no longer optional — it is a core professional competency. Stakeholders ranging from field officers and programme managers to government counterparts and international donors increasingly expect M&E reports that go beyond tables of numbers to deliver insight at a glance. Data visualisation is the bridge between raw evidence and informed action.
This five-day training programme, delivered by TrainingComplex, is purpose-built for M&E practitioners who collect, analyse, and report data within the development, humanitarian, and public sectors. The course moves from foundational principles of visual communication through to hands-on practice with widely used tools including Microsoft Excel, Power BI, and DHIS2 dashboards. Participants learn not only how to build charts and dashboards, but also how to choose the right visual type for each message, apply accessibility and design best practices, and tailor outputs to specific audiences and reporting frameworks such as logical frameworks, results frameworks, and Theory of Change.
Through a blend of guided demonstrations, real-world M&E datasets, peer critique sessions, and a capstone dashboard project, participants leave with a portfolio of visualisation outputs ready for immediate use in their organisations. Whether preparing a mid-term evaluation report, a donor progress update, or an internal learning review, graduates of this course will have both the technical confidence and the design sensibility to make their data speak clearly and credibly.
Who Should Attend
- M&E Officers and Specialists working in NGOs, UN agencies, or government programmes
- Programme and Project Managers who oversee results reporting and indicator tracking
- Data Analysts and Research Officers responsible for processing and presenting programme data
- Development sector professionals preparing donor reports, log frames, and evaluation outputs
- Government M&E focal points working within national monitoring systems
- Consultants conducting programme evaluations, reviews, or assessments
- Grants and Reporting Officers who synthesise field data for external audiences
Learning Objectives
- Explain core principles of data visualisation and their application within M&E reporting contexts
- Select the most appropriate chart or visual type to communicate specific M&E messages to defined audiences
- Design clear, accurate, and visually compelling charts, graphs, and infographics using Excel and Power BI
- Build interactive M&E dashboards that enable stakeholders to explore indicator performance in real time
- Apply colour theory, typography, and layout principles to produce professional, accessible visuals
- Integrate geospatial data visualisation techniques to map programme reach and geographic distribution of outcomes
- Critically evaluate existing M&E visuals and recommend evidence-based improvements
- Align visualisation outputs with logical frameworks, results frameworks, and Theory of Change structures
- Tailor data stories and visual narratives for different audiences including donors, communities, and government
- Deliver a complete, presentation-ready visualisation portfolio based on real programme datasets
Course Modules
Module 1: Foundations of Data Visualisation in M&E
- Why visualisation matters: the link between data presentation and evidence use
- Core principles of effective visual communication — clarity, accuracy, and efficiency
- Common pitfalls in M&E reporting: misleading charts, cluttered dashboards, and context-free numbers
- Overview of the visualisation workflow from data to decision
- The role of visualisation in programme learning cycles: connecting monitoring outputs to adaptive management
- Distinguishing exploratory visualisation for internal analysis from explanatory visualisation for external reporting
Module 2: Understanding Your Data and Your Audience
- Types of M&E data: quantitative, qualitative, geospatial, and time-series
- Matching data types to appropriate visual formats
- Audience segmentation: donors, government, communities, and internal teams
- Adapting complexity and tone for technical versus non-technical stakeholders
- Mapping the decision-making context: understanding what each audience needs to act on the data
- Handling data gaps and incomplete baselines transparently when presenting to different audience groups
Module 3: Choosing the Right Chart for the Right Message
- The chart selection framework: comparison, distribution, composition, and relationship
- When to use bar charts, line graphs, scatter plots, heat maps, and waterfall charts
- Pitfalls of pie charts, dual-axis graphs, and three-dimensional visuals in M&E reporting
- Practical drill: selecting and justifying chart types for a set of real indicator stories
- Annotating charts to surface the headline finding rather than leaving interpretation to the reader
- Adapting chart choice when data volume, frequency, or disaggregation levels change across reporting periods
Module 4: Building Professional Charts in Microsoft Excel
- Structuring M&E data tables for clean, reproducible charting
- Formatting techniques for donor-ready charts: removing chart junk, adding data labels, and annotating trends
- Dynamic charts using named ranges and drop-down selectors for multi-indicator reporting
- Hands-on exercise: producing a complete indicator performance chart set from a project dataset
- Using Excel's error bars and confidence interval displays to represent data quality and variability in indicator results
- Building a reusable chart template with locked branding, consistent axis scales, and protected source-data ranges for team-wide use
Module 5: Design Principles — Colour, Typography, and Layout
- Colour theory for M&E: using colour to encode meaning, highlight findings, and maintain neutrality
- Accessibility considerations including colour-blind-safe palettes and sufficient contrast ratios
- Typography choices for headings, labels, captions, and body text in reports and presentations
- Layout and white space: organising multiple visuals on a report page or slide for maximum clarity
- Creating and applying a consistent organisational style guide to ensure visual coherence across all M&E deliverables
- Using visual hierarchy — size, weight, and position — to direct reader attention to the most critical evidence first
Module 6: Introduction to Power BI for M&E Dashboards
- Power BI interface orientation: data model, report canvas, and visualisation pane
- Importing and transforming M&E data from Excel, CSV, and DHIS2 exports
- Building core M&E visuals: KPI cards, bar charts, trend lines, and slicers for period and location filtering
- Publishing and sharing dashboards with programme teams and donor representatives
- Writing basic DAX measures to calculate achievement rates, cumulative targets, and percentage change between reporting periods
- Configuring row-level security to control which programme areas or geographic regions different user groups can access
Module 7: Advanced Dashboard Design and Interactivity
- Designing a logical dashboard layout that guides users from summary KPIs to detailed breakdowns
- Cross-filtering, drill-through, and bookmarks for interactive stakeholder exploration
- Conditional formatting and traffic-light indicators to flag off-track indicators at a glance
- Capstone lab: building an interactive M&E performance dashboard using a provided results framework dataset
- Using field parameters and calculation groups to allow stakeholders to toggle between different indicators or disaggregations without requiring multiple report pages
- Performance optimisation techniques: reducing visual load, managing query folding, and testing dashboard responsiveness across devices
Module 8: Geospatial Data Visualisation for Programme Mapping
- Introduction to geospatial data concepts: coordinates, shapefiles, and geographic aggregation
- Mapping programme reach and beneficiary distribution using Power BI maps and free GIS-lite tools
- Visualising equity and coverage gaps: overlaying programme data with population and vulnerability layers
- Interpreting and presenting geographic findings in evaluation reports and donor submissions
- Cleaning and geocoding field-collected location data: handling inconsistent place names, missing coordinates, and administrative boundary mismatches
- Choosing between choropleth maps, proportional symbol maps, and dot density maps based on the indicator type and the geographic story being communicated
Module 9: Visualising Qualitative and Mixed-Methods M&E Data
- Converting qualitative findings — themes, quotes, and ratings — into visual formats
- Word clouds, thematic matrices, and rating scales as qualitative visualisation tools
- Integrating quantitative and qualitative visuals within a single evaluation report section
- Ethical considerations: representing community voices and sensitive data responsibly
- Using structured codebooks and frequency counts to move from raw qualitative coding to visually displayable thematic patterns
- Designing most-significant-change summaries and outcome harvesting timelines as visual supplements to narrative evaluation sections
Module 10: Storytelling with Data and Capstone Presentation
- Constructing a data narrative arc: context, finding, evidence, and recommended action
- Aligning visualisation outputs with Theory of Change, log frame, and results framework structures
- Capstone project presentations: each participant presents their M&E dashboard and visualisation portfolio to the group
- Peer and facilitator feedback, personal development planning, and next steps for organisational application
- Tailoring the density and framing of a data story to suit different dissemination formats: slide decks, printed reports, and live interactive dashboards
- Anticipating and addressing stakeholder pushback on findings through transparent methodology notes, confidence caveats, and clear sourcing within visualisations
Requirements & Prerequisites
Participants should have at least one year of practical experience in monitoring, evaluation, or programme reporting. A working familiarity with Microsoft Excel — including basic formulas and chart creation — is expected, as the course builds directly on these skills. No prior experience with Power BI or other business intelligence tools is required, as these are introduced from the ground up during the training.
Training Methodology
- Guided tool demonstrations using real M&E datasets from development and humanitarian programmes, allowing participants to follow along step-by-step in Excel and Power BI
- Hands-on lab sessions where participants build charts, dashboards, and infographics from raw indicator data provided by the facilitator
- Visual critique exercises in which small groups review and redesign poorly constructed M&E visuals, applying design principles learned in each module
- Audience analysis activities requiring participants to repackage the same dataset into visuals suited for a donor report, a community feedback session, and an internal learning review
- Geospatial mapping practicals using freely available tools to plot programme reach, beneficiary distribution, and outcome hotspots
- Capstone dashboard project in which each participant designs and presents a fully functional M&E dashboard based on their own programme context
- Peer feedback panels where participants present draft visualisations and receive structured input from fellow delegates and the facilitator
- Case study reviews drawing on published evaluation reports from USAID, UN agencies, and African Union programmes to illustrate best and worst practice in data presentation
Organisational Benefits
- Improved quality and clarity of donor reports, mid-term reviews, and evaluation publications
- Stronger evidence communication that supports programme advocacy and resource mobilisation
- Faster, more confident decision-making by programme leadership enabled by real-time dashboards
- Reduced time spent reformatting and redesigning reports across the programme cycle
- Enhanced organisational credibility with international donors and government counterparts
- Better uptake of M&E findings by non-technical audiences including community stakeholders and policymakers
- A cadre of in-house staff capable of producing professional-grade visualisations without relying on external designers
- Improved alignment between data collection systems and reporting outputs through smarter visualisation planning
Where Is Data Visualization Techniques for M&E; Training Offered?
This course runs in-person across: Lagos, Mombasa, Kampala, Dar es Salaam, Accra, Arusha, Pretoria, Kisumu, Nakuru, Naivasha, Addis Ababa, Abuja, Nairobi, Zanzibar, Dubai, Johannesburg, Riyadh, Cape Town, Kigali, plus Live Virtual (online) cohorts. Browse live dates for your city below.
Upcoming Schedules
| Location | Format | Dates | Price |
|---|
| Lagos, Nigeria |
In-Person |
5 Oct 2026 – 9 Oct 2026 |
USD 2,500 |
| Mombasa, Kenya |
In-Person |
5 Oct 2026 – 9 Oct 2026 |
KES 115,000 |
| Kampala, Uganda |
In-Person |
12 Oct 2026 – 16 Oct 2026 |
USD 1,900 |
| Dar es Salaam, Tanzania |
In-Person |
12 Oct 2026 – 16 Oct 2026 |
USD 2,300 |
| Accra, Ghana |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 3,800 |
| Arusha, Tanzania |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 2,100 |
| Pretoria, South Africa |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 3,300 |
| Kisumu, Kenya |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
KES 120,000 |
| Nakuru, Kenya |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
KES 115,000 |
| Live Virtual |
Online |
19 Oct 2026 – 23 Oct 2026 |
KES 80,000 |
| Naivasha, Kenya |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
KES 120,000 |
| Addis Ababa, Ethiopia |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 2,400 |
| Live Virtual |
Online |
24 Oct 2026 – 15 Nov 2026 |
KES 80,000 |
| Abuja, Nigeria |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,800 |
| Nairobi, Kenya |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
KES 115,000 |
+234 more dates — view live schedule →
Frequently Asked Questions
Do I need prior experience with Power BI to attend this course?
No prior Power BI experience is required. The course introduces Power BI from the ground up, starting with data import and basic visuals before progressing to interactive dashboards. A working knowledge of Microsoft Excel is sufficient preparation for the tool sessions.
Will I receive a certificate upon completion?
Yes. Participants who attend the full five-day programme and complete the capstone project will receive a Certificate of Completion from TrainingComplex, confirming their competency in Data Visualisation Techniques for M&E.
What software will I need to bring or have access to during the training?
Participants should bring a laptop with Microsoft Excel (2016 or later) installed. Power BI Desktop is free to download from Microsoft's website and should also be installed before arrival — installation guidance will be shared with registered delegates in advance.
Are the datasets used in the course based on real programmes?
The training uses anonymised but realistic M&E datasets drawn from development and humanitarian programme contexts, including health, agriculture, education, and WASH sectors. These are designed to closely mirror the data challenges participants encounter in their own work.
Can organisations send multiple staff members, and is there a group discount?
Yes, TrainingComplex welcomes team enrolments and offers group pricing for three or more delegates from the same organisation. Please contact our training coordinators directly to discuss a customised group booking or an in-house delivery option tailored to your organisation's specific results framework.
