Claude Code for Data Analysis: Build Repeatable, Reliable Workflows

Course Overview

This course teaches how to build a repeatable data analysis workflow using Claude Code, combining AI assistance with essential controls and validation practices to ensure trustworthy results. It guides learners through a project from raw data to profiling, cleaning, modeling, analysis, and automation.

Learn to provide project context to Claude Code, define business metrics and quality rules, create reusable skills, and add validation steps to protect analysis integrity. The workflow is applied to create dashboards, presentation slides, and Power BI assets, culminating in an automated analysis pipeline for ongoing use.

Key Takeaways

• How to give Claude Code project context and define business metrics and quality rules.
• Creating reusable skills for data profiling, cleaning, and analysis.
• Implementing validation layers to verify and protect the integrity of results.
• Building interactive dashboards, presentation slides, and Power BI reports.
• Automating the analysis pipeline for repeatable and reliable workflows.

Target Learners

Intermediate-level data analysts, data engineers, and professionals interested in leveraging AI to build scalable, trustworthy data analysis workflows.