Claude Code for data analysis: 500,000 rows without writing code
In this tutorial, I walk through a complete data analysis workflow using Claude Code. No theory, just real data, real prompts, and real results you could send to your business today.
Article with all the prompts to copy-paste: https://velvetshark.com/data-analysis...
📊 What we build:
Excel report with KPIs, top products, top customers, and country breakdown
Professional charts ready for presentations
Customer cohort analysis with retention heat map
Reusable script that regenerates everything with one command
🔑 What I cover:
Setting up Python environment with Claude Code (one-time, 2 minutes)
Preventing AI hallucination with verification steps
Keeping "messy" data (returns, cancellations) for business insights
Writing effective prompts for data analysis
Spot-checking results to ensure accuracy
📁 Dataset used: Online Retail Dataset from UCI Machine Learning Repository
https://archive.ics.uci.edu/dataset/3...
🛠️ Tools: Claude Code (https://claude.ai/code)
You don't need to know Python. You need to know what questions to ask your data and how to describe what you want. If you're good with Excel, you already have those skills.
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0:00 What we're building
1:07 The dataset: 500K rows of real retail data
2:56 You don't need to know Python
3:39 One-time environment setup
4:58 Loading data and preventing hallucination
5:52 Handling returns and cancellations
7:27 Building the reusable report script
10:05 The generated Excel report and charts
13:06 AI-generated business insights
14:06 Data verification (critical step)
16:43 Cohort analysis and retention heat map
17:31 Recap
19:31 Bonus: Jupyter Notebook in 2 minutes
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