How I Use Claude Code as a Data Analyst (10 Real Use Cases)

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The data analyst role is changing fast — and the analysts pulling ahead aren't spending more time learning SQL or Python. They're using AI to do in 5 minutes what used to take 5 hours.

In this video, I walk you through 10 real Claude Code workflows every data analyst should know: from cleaning messy CSVs and debugging broken SQL, to building Streamlit apps and deploying interactive dashboards — no web dev experience needed.

Whether you're brand new to AI tools or already using ChatGPT for data work, Claude Code takes things to a completely different level. This is the skill gap opening up right now in the data space.

TIMESTAMPS
0:00 - Intro: Why Claude Code is changing the data analyst role
0:32 - #1: Data Cleanup (fixing messy CSVs automatically)
7:03 - #2: Spreadsheet Analysis with Python Pandas
15:15 - #3: Automated Data QA / Audit Before Meetings
21:16 - #4: Merging Data from Multiple Sources (CRM, billing, contracts)
24:49 - #5: Contact Data Standardization & Regex Cleanup
29:42 - #6: SQL Query Debugging (finding & fixing broken queries)
34:11 - #7: SQL Optimization & Rewriting
36:53 - #8: Converting Hardcoded Queries into SQL Views
40:39 - #9: Code Documentation & Refactoring
45:48 - #10: Building Dashboards & Streamlit Apps
57:57 - Outro
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Видео How I Use Claude Code as a Data Analyst (10 Real Use Cases) канала Ryan & Matt Data Science