Claude Code for Data Analysis: Build Repeatable, Reliable Workflows

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.

Learning objectives
Set up Claude Code with project context and rules for data analysis.
Build reusable workflows to profile, clean, and model data.
Validate AI-generated analysis with quality checks and defined metrics.
Create dashboards and presentations from analyzed data.
Automate a repeatable data analysis pipeline with reusable skills.