AI for Data Analysts

AI is changing what a data analyst’s day looks like. The analysts who stand out aren’t the ones who hand everything to AI. They’re the ones who know where it helps, where it fails, and how to check its work.In this track, you’ll start by building an AI-first analysis workflow. You’ll turn vague business questions into sharp prompts with the GCSE framework, audit data quality, enrich raw fields, find insights worth chasing, and verify every finding with the S.P.O.T. framework before it reaches a stakeholder.Next, you’ll put that workflow to work in Claude. After learning Claude’s core features, you’ll direct it to clean messy spreadsheets, build formulas in plain English, combine sheets, pull data from connected databases, and turn tables into dashboards, all without writing code. You’ll capture recurring jobs in Skills so Claude does them your way every time, bundle them into Plugins your team can install, and apply everything in a hands-on project where you build a marketing dashboard from raw data.Ready to go further? You’ll move into Claude Code to explore data projects, connect to databases with MCP, automate checks with hooks, and build and test your own tools from the terminal.Finally, you’ll learn to use AI safely and ethically. You’ll spot bias and unreliable output, protect sensitive data, and take ownership of the results you deliver.Start today and become the analyst who gets more done with AI and can prove the numbers are right.