Data Work with AI

AI for data analysts, AI data analysis course, data cleaning with AI, exploratory data analysis with AI, storytelling with data, AI in Excel for analysts, ChatGPT for data analysis, vendor-agnostic AI analyst training, spot AI hallucinations in data

practitioner

en

• Break vague business requests into precise analytical sub-questions with AI
• Generate Excel formulas to clean, reshape, and validate messy datasets
• Run exploratory analysis to surface correlations, anomalies, and next questions
• Draft chart titles, annotations, and executive summaries that drive decisions
• Build reproducible, auditable, hand-off-ready analysis templates
• Catch AI bias, wrong outputs, and fabricated results before they reach stakeholders

• Url: https://aiacademy.anthropos.work/chapters/ai-for-data-analysts-intro/ · Data Analysts: Start Here · Position: 1 · 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
• Url: https://aiacademy.anthropos.work/chapters/modern-analyst-ai-workflow/ · The Modern Analyst's AI Workflow · Position: 2 · Map the complete AI-augmented analysis loop — from question to action — and build habits that make any LLM your daily thinking partner
• Url: https://aiacademy.anthropos.work/chapters/asking-better-questions-of-data/ · Asking Better Questions of Data · Position: 3 · Turn vague business requests into precise analytical sub-questions — use AI to decompose, challenge, and sharpen every question before you touch the data
• Url: https://aiacademy.anthropos.work/chapters/data-cleaning-reshaping-excel/ · Data Cleaning & Reshaping with AI · Position: 4 · 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
• Url: https://aiacademy.anthropos.work/chapters/exploratory-analysis-with-ai/ · Exploratory Analysis with AI · Position: 5 · Let AI surface patterns, correlations, anomalies, and next questions from your data — spend less time staring at spreadsheets and more time finding what matters
• Url: https://aiacademy.anthropos.work/chapters/storytelling-charts-narratives/ · Storytelling with Data + AI · Position: 6 · Turn analytical findings into compelling narratives that drive decisions — using AI to draft chart titles, annotations, executive summaries, and slide structures
• Url: https://aiacademy.anthropos.work/chapters/reproducible-patterns/ · Reproducible Analysis Patterns with AI · Position: 7 · Make every analysis repeatable, auditable, and hand-off-ready — using AI to document, template, and automate your analytical workflows
• Url: https://aiacademy.anthropos.work/chapters/bias-errors-hallucinations/ · Bias, Errors & Hallucinations in Data Work · Position: 8 · 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 stakeholders

• Break vague business requests into precise analytical sub-questions with AI
• Generate Excel formulas to clean, reshape, and validate messy datasets
• Run exploratory analysis to surface correlations, anomalies, and next questions
• Draft chart titles, annotations, and executive summaries that drive decisions
• Build reproducible, auditable, hand-off-ready analysis templates
• Catch AI bias, wrong outputs, and fabricated results before they reach stakeholders

It is for working data analysts and business professionals who already analyze data and want to add AI to their daily workflow. The practitioner level assumes you do this work and want to do it faster and with more rigor.

Course Mode: online · Course Workload: PT172M · Mode: online