Victor Mandela
  • Front Page
  • Live Demos
  • Case Study
  • Dispatches
  • About
  • Training
    • Available courses
    • Upcoming courses
    • Testimonies & awards
  • Resources
    • More dashboards (embedded)
    • Gallery
    • Books & guides
    • Contact
  • Hire Me
Open to roles & consulting · M&E · Impact Evaluation · Agricultural Analytics · R Shiny LinkedInGitHubEmailBook a call
THE Evidence & Impact Review — Monitoring, Evaluation & Decision Analytics Edited by Victor Mandela · MEL & Data Science Consultant Nº 2026·11
Victor Mandela, M&E and data science consultant
This edition 8 live dashboards you can open and test right now Try the demosHire me
Portfolio Edition ••• Monitoring & Evaluation · Impact Evaluation · R Shiny Decision Support ••• Nairobi, KenyaUPDATED NOV 2026

AI for M&E Accelerator — Course Hub

AI
Monitoring and Evaluation
Data Analysis
Dashboards
Reporting
🚀 COHORT 1 · STARTS 22ND JULY 2026 · ONLY 50 SEATS

AI for M&E Accelerator

Work Smarter. Impact More. Lead the Future.

A practical, hands-on, live-online programme for Monitoring, Evaluation, Research, Learning & Data professionals — no coding experience required.

Register Now → See Free Preview
3Weeks
6Live Sessions
100+AI Prompts
50Seats Only

📋 Course Overview

This course teaches M&E, MEAL, MERL, Research, and Data professionals how to use AI tools to analyse survey data, build interactive dashboards, and generate donor-ready reports — cutting tasks that used to take weeks down to hours. No prior coding experience is required.

🎓 Who this is for: M&E/MEAL Officers, Programme Officers, Research Analysts, Public Health professionals, Humanitarian response teams, and Consultants who want to future-proof their careers with practical AI skills — regardless of technical background.

🗂️ Curriculum

Week 1 — Foundations & Data Analysis

Sessions 1–2 · Mon & Thu

  • AI tools for M&E: the landscape (ChatGPT, Claude, Gemini, Copilot)
  • The M&E Prompt Framework — 5 real prompts in 20 minutes
  • Cleaning & validating KoBoToolbox / ODK exports with AI
  • Quantitative analysis without writing a single formula
  • Thematic coding & sentiment analysis for FGDs/KIIs

🔓 Free preview — read below

Week 2 — Dashboards & Visualisation

Sessions 3–4 · Mon & Thu

🔒

Password-protected. Registered participants receive the password by email immediately after registration.

Enter Password →

🔒 For registered participants only

Week 3 — Reporting, Automation & Career Strategy

Sessions 5–6 · Mon & Thu

🔒

Password-protected. Registered participants receive the password by email immediately after registration.

Enter Password →

🔒 For registered participants only

🔓 Already registered? Check your confirmation email for the Week 2 & Week 3 passwords. Lost it? Email vmandela99@gmail.com and we’ll resend it.

🧰 What You Walk Away With

🤖 100+ AI Prompts A ready-to-use M&E Prompt Library covering data cleaning, analysis, reporting, and logframe review.

📊 Dashboard Templates Pre-built Power BI & Looker Studio templates for programme monitoring and donor reporting.

🎓 Certificate A professional, shareable certificate of completion — verifiable and LinkedIn-ready.

🤝 30-Day Support A month of post-training WhatsApp support to troubleshoot as you apply what you learned.

💻 No Coding Experience? You’re in the Right Place

This course was designed specifically for M&E professionals who are not developers. If you can use Excel and KoboToolbox, you already have what you need. Every tool we teach — ChatGPT, Claude, Power BI, Looker Studio — uses point-and-click interfaces or plain-English prompts. There is no programming language to learn.

📅 Schedule & Investment

📅 Schedule

  • Starts: 22nd July 2026
  • Days: Mondays & Thursdays
  • Time: 7:00 PM EAT
  • Format: Live Online (Zoom)
  • Duration: 3 weeks · 6 sessions
EARLY BIRD · FIRST 20 ONLY
$197 / KES 25,000
Standard price: $275 / KES 35,000

⚠️ Only 50 seats total — first cohort intentionally small for hands-on support

📝 Register Now

Reserve your seat below. Spaces are limited to 50 to ensure every participant gets hands-on support. Upon registration, you’ll receive an email within minutes containing the Week 2 and Week 3 passwords plus payment instructions.

[📋 PASTE YOUR REGISTRATION FORM EMBED CODE HERE — see SETUP-GUIDE.md Step 3]

📧 For bulk/organisational registrations (5+ people), contact: vmandela99@gmail.com

❓ Frequently Asked Questions

I’m not technical — will I keep up?

Yes. This course is built for M&E professionals, not developers. If you can use Excel and KoboToolbox, you have what you need.

I’m busy — can I really commit two sessions a week?

Each live session is 90 minutes and recorded if you miss it. Past participants reported saving 8–10+ hours per week afterward.

Will this work for my specific context?

Past participants have applied this in Kenya, Madagascar, and Lisbon, across health, food security, and livelihoods programmes.

How do the Week 2/3 passwords work?

After you register, you’ll get an automated email with both passwords. Each protected page asks for its password once per browser session.

Do I need to buy any software?
No. We use free or freemium tiers of ChatGPT/Claude, and Power BI Desktop (free) or Google Looker Studio (free).

📣 Real data. Real problems. Real solutions. This isn’t a textbook course — it’s a hands-on journey into how AI can transform your M&E practice.

📩 Questions or bulk registrations: vmandela99@gmail.com

Evidence & Impact ReviewEdited by Victor Mandela · Nairobi, Kenya

Monitoring, evaluation and data science consultant based in Nairobi, Kenya. I turn research and programme data into R Shiny decision-support tools that teams actually use.

vmandela99@gmail.com · Book a 15-min call

Live demos
  • Rwanda Maize Yield Analyzer
  • Analytics Monitoring
  • ELMA EJAF Adolescent Health
  • FSN Lebanon 2024
  • All dashboards ›
Desks
  • Maize Case Study
  • Monitoring & Evaluation
  • Surveys & Field Data
  • GIS & Climate
  • All dispatches ›
Work with me
  • Services & rates
  • About / profile
  • Training & courses
  • LinkedIn
  • GitHub
© 2026 The Evidence & Impact Review · Victor Mandela Mokaya · Nairobi, Kenya