Mastering Claude Code for Data Professionals
summary
Claims Claude Code excels for data work but still makes systematic mistakes and tends toward average answers; recommendations come from interviews showing 80–90% usage and a cautionary rebuild anecdote of 2,000 developers vs 20 (1%). Practical specifics include using a cloud.md limited to ~200 lines for session context, authoring reusable skills (weekly summaries, data cleaning, A/B interpretation), and wiring MCPs (dbt Notion Atlassian) to let the agent read schemas, fetch past analyses, run queries, and draft actions.
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chapters (14)
- 0:00Introduction
- 1:19What is Claude Code
- 4:47AI coding tools transition
- 6:10Claude Code agenda
- 6:51Claude.md file explained
- 8:56claude.md for team context
- 9:38claude.md size constraints
- 10:42Custom skills intro
- 11:23What are skills
- 12:48Skills for data pros
- 14:31High-impact low-effort tasks
- 15:13Skill creator plugin
- 15:33Model Context Protocols
- 16:14MCPs in data workflows
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