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Portfolio Edition ••• Monitoring & Evaluation · Impact Evaluation · R Shiny Decision Support ••• Nairobi, KenyaUPDATED NOV 2026

Week 2 — Dashboards & Visualisation

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Week 2 — Dashboards & Visualisation

Sessions 3–4 · Mondays & Thursdays

Welcome back! This page contains the full Week 2 breakdown, exercises, and downloadable resources. Bookmark this page — you’ll need it again before each Week 2 session.

Learning Outcomes

By the end of Week 2, you will be able to:

  • Design and build interactive M&E dashboards using Power BI / Google Looker Studio
  • Use AI to write DAX formulas, calculated fields, and custom metrics
  • Create programme performance trackers and indicator monitoring dashboards
  • Build geographic / heat-map visualisations for field programme data
  • Apply data storytelling principles to guide stakeholder decisions
  • Set up automated dashboard refresh from live data sources

Session 3 — Building AI-Assisted Dashboards

Monday · 7:00 PM EAT

  • Power BI & Looker Studio with AI co-pilot
  • AI-generated DAX / calculated fields
  • Indicator tracking dashboard — built live in-session
  • Automated data refresh setup

Session 4 — Data Visualisation & Storytelling

Thursday · 7:00 PM EAT

  • Chart selection framework for M&E data
  • Geographic visualisation for field programmes
  • Data storytelling structure for non-technical stakeholders
  • Stakeholder-specific dashboard layouts

Practical Exercises

Exercise 2.1: Build a programme performance dashboard from the provided dataset — include KPI cards, trend lines, and a geographic component — in under 45 minutes.

Exercise 2.2: Transform a 3-page data table into a one-page visual story using AI-guided chart selection and narrative framing for a donor audience.

Need help before the session?

Post your question in the WhatsApp group, or email vmandela99@gmail.com.


➡️ Continue to Week 3 (separate password required)