SMU Academy · Self-guided unit
From 3 days to 3 hours.
AI collapses the grunt-work of data analysis — cleaning, exploring, charting — so your time goes to judgement, not janitorial work.
ADOPT · D-step (Diagnose value). You'll leave with a baseline + target for one workflow — build it in the “Deliverable” section.
The data-analysis journey
Eight chapters. AI speeds every step; you stay in charge of meaning.
Your toolbox
Four decision helpers you can use on any real dataset.
🧰 Which AI tool?
📈 Which chart?
🕳️ Missing data — what do I do?
🧠 Critical thinking — the 3 V's
✅ Before you trust an AI insight — the 4-tier validation
Tick what you've done. Higher stakes → go deeper.
Build your deliverable: a baseline + target
The artefact you hand to Unit 6. One number per row — fill it in, copy or export.
💬 Prompt library
Copy-ready prompts for each step of the journey.
Knowledge check
Seven quick questions, instant feedback.
Glossary & takeaways
📖 Glossary
🎯 The one idea
AI does the describing in minutes; you do the deciding. Speed is the gift — critical thinking is the job. Verify it's correct, validate it makes business sense, and only then ask: so what do we do?