Chat with Your Data: Generative AI-Powered SQL Data Analysis

Vanderbilt connects a natural-language question with SQL and then with analysis of the returned data. The two-module structure follows both stages of the workflow. Choose it as a continuation after query basics so you can evaluate generated SQL rather than accept it without inspection.

What you will learn

• Translate a data question into a query proposal.
• Inspect results before developing an explanation.
• Use AI assistance to explore visual or analytical follow-up questions.

Who this suits

Learners with basic experience running database queries and access to ChatGPT.

Before you enroll

Query experience is explicitly expected despite the beginner label. Run generated SQL in a bounded practice environment and verify joins, filters and aggregations before trusting the answer.

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Put it into practice

Ask for a query on a synthetic database with known totals. Introduce duplicate join keys and test whether the generated analysis detects the change.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

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