Name: Chat with Your Data: Generative AI-Powered SQL Data Analysis
Brand: Vanderbilt University
Availability: OnlineOnly
Rating: 4.8 (22 reviews)

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学生对 Vanderbilt University 提供的 Chat with Your Data: Generative AI-Powered SQL Data Analysis 的评价和反馈

4.8

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77 个评分

课程概述

Imagine turning your database into a conversation partner that not only answers your questions but visualizes insights, finds patterns you've missed, and helps fix your queries. This isn't science fiction—it's the power of Generative AI applied to SQL and data analysis. Traditional database interaction requires technical expertise, writing complex queries, and switching between multiple tools to analyze and visualize results. But what if you could simply have a conversation with your data? What if you could ask questions in plain language and receive immediate, actionable insights? This course teaches you how to revolutionize your relationship with databases through ChatGPT-assisted analysis. You'll learn powerful techniques to establish accurate database context, collaboratively explore meaningful questions, generate precise SQL queries, and transform raw results into compelling visualizations—all through natural conversation with AI. All of these techniques are simple for anyone to use with just ChatGPT and your database. We'll explore proven patterns like the CLUE framework for establishing database context, the experimental query generation approach for building complex queries, and the TRUST method for verifying your results. You'll discover how to design visualization-first queries, build reproducible analysis pipelines with the CAPTURE pattern, and efficiently troubleshoot SQL issues using the DEBUG framework. Whether you're a data analyst seeking to accelerate your workflow, a business professional who needs insights without coding expertise, or a database administrator looking to expand your toolkit, this course equips you with immediately applicable skills. You'll learn to extract more value from your existing data while dramatically reducing the time and technical barriers traditionally associated with database analysis. By the end of this course, you'll transform how you interact with databases—moving from rigid, technical queries to fluid, insightful conversations that reveal the full potential of your data. As Generative AI reshapes the landscape of data analysis, this course ensures you're not just keeping pace but leading the charge with powerful, practical techniques that deliver immediate results....

1 - Chat with Your Data: Generative AI-Powered SQL Data Analysis 的 22 个评论（共 22 个）

创建者 Vincent E

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Apr 13, 2025

Great examples that have a lot of creative solutions for loading and analyzing data sets.

创建者 Zsuzsanna K

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Aug 30, 2025

It was hard for me. I am not a data person, but I have still learned a great deal. I just love Professor White's teaching style; he is a perfect teacher. I did not become a data wizard, but at least I now understand some analysis.

创建者 Mauricio A D O

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Oct 17, 2025

Excellent course, it provides a methodology to obtain greater performance from data analysis with AI

创建者 Raini

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Aug 21, 2025

I absolutely love these classes! I am hooked on learning from the Vanderbilt specializations.

创建者 Ange H

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Aug 14, 2025

Excellent course. What I learned here will be extremely helpful in my work as a data analyst.

创建者 M A

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May 24, 2025

Phenominal class! The material and the way that it is presented is extremely invaluable.

创建者 Joseph F

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Jul 25, 2025

Jules White is AMAZING! The frameworks help structure very applicable lessons

创建者 Robert M i G

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Oct 6, 2025

extremely helpful and fascinating what AI can do already

创建者 Mariana B

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Oct 30, 2025

Muy dinámico y Claro, excelente el material

创建者 Viviana M

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Sep 30, 2025

Excelente

创建者 Sembai A

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Apr 22, 2025

Сәттілік

创建者 Nguyễn T O

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Jan 19, 2026

good

创建者 PANAGIOTIS M

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Dec 19, 2025

nice

创建者 Jose S C

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Nov 9, 2025

grax

创建者 vasu b

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Aug 10, 2025

Good

创建者 Tanushree K B

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Oct 10, 2025

创建者 Martin M

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Jul 25, 2025

Good introductory level course on prompting LLMs to assist you in analysing data using SQL. Some good tips and frameworks to use. Part 1 of a 4 course specialization path