• views: 74
• date: 17 September 2026
• posted by: voska89

Build a repeatable data analysis workflow with Claude Code, using reusable skills, quality checks, and validation to produce results you can trust.

Course details

AI can help you analyze data faster, but speed means little if you can't trust the results. In this course, data engineer Baraa Salkini teaches you how to use Claude Code to build a repeatable data analysis workflow that combines AI assistance with the controls and validation practices analysts need. Follow a project from raw data through profiling, cleaning, modeling, analysis, and automation. Explore how to give Claude Code project context, define business metrics and quality rules, create reusable skills, and add validation steps that help protect the integrity of your analysis. Then apply the workflow to create dashboards, presentation slides, and Power BI assets, and combine your reusable skills into an automated analysis pipeline you can run again as new data and questions arise.

Skills covered

Data Analysis, Artificial Intelligence (AI)

Homepage

https://www.linkedin.com/learning/claude-code-for-data-analysis-build-repeatable-reliable-workflows

   
   
   

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