Unit 5AI-Powered Data Analysis
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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.

The operating principle for the whole unit: AI generates the “What.” You provide the “Why.”

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?

    Pick a need to see the right tool.

    📈 Which chart?

    Pick what you want to show.

    🕳️ Missing data — what do I do?

    Pick the column's situation.

    🧠 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.

    Your baseline + target card

    💬 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?