Academy

Course · 8 chapters

Data Work with AI

Vendor-agnostic AI for analysts — no Copilot. Process and ideas, with Microsoft Excel as tool example. Better questions, cleaner data, exploratory analysis, narrative communication, reproducible patterns, rigor about hallucinations.

Paidpractitioner8 chaptersEnglish + 6 languagesCertificate on completion
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What you'll be able to do

  • A 12-minute orientation to the Data Analysts skill path — why it exists, what you will be able to do, how the seven chapters relate, and where to begin.
  • Map the complete AI-augmented analysis loop — from question to action — and build the habits that make any Large Language Model your daily thinking partner.
  • Turn vague business requests into precise analytical sub-questions — and use AI to decompose, challenge, and sharpen every question before you touch the data.
  • Reclaim the 60-80% of analysis time lost to messy data — use AI to detect anomalies, generate Microsoft Excel cleaning formulas, reshape structures, and validate transformations before they reach your model.
  • Let AI surface patterns, correlations, anomalies, and next questions from your data — so you spend less time staring at spreadsheets and more time finding what matters.
  • Turn analytical findings into compelling narratives that drive decisions — using AI to draft chart titles, annotations, executive summaries, and slide structures while you control the story.

What's inside

  1. 1
    AI for Data Analysts: Start Here

    A 12-minute orientation to the Data Analysts skill path — why it exists, what you will be able to do, how the seven chapters relate, and where to begin.

  2. 2
    The Modern Analyst's AI Workflow

    Map the complete AI-augmented analysis loop — from question to action — and build the habits that make any Large Language Model your daily thinking partner.

  3. 3
    Asking Better Questions of Data

    Turn vague business requests into precise analytical sub-questions — and use AI to decompose, challenge, and sharpen every question before you touch the data.

  4. 4
    Data Cleaning & Reshaping with AI

    Reclaim the 60-80% of analysis time lost to messy data — use AI to detect anomalies, generate Microsoft Excel cleaning formulas, reshape structures, and validate transformations before they reach your model.

  5. 5
    Exploratory Analysis with AI

    Let AI surface patterns, correlations, anomalies, and next questions from your data — so you spend less time staring at spreadsheets and more time finding what matters.

  6. 6
    Storytelling with Data + AI

    Turn analytical findings into compelling narratives that drive decisions — using AI to draft chart titles, annotations, executive summaries, and slide structures while you control the story.

  7. 7
    Reproducible Analysis Patterns with AI

    Make every analysis repeatable, auditable, and hand-off-ready — using AI to document, template, and automate your analytical workflows.

  8. 8
    Bias, Errors & Hallucinations in Data Work

    Recognize the three failure modes of AI-assisted analysis — systematic bias, wrong outputs, and confident fabrication — and build verification protocols that catch them before they reach your stakeholders.

Earn a certificate

Complete all chapters to receive your certificate of completion.