Coursera Project Network
Queries with OpenAI: Translate Natural Text to SQL
Coursera Project Network

Queries with OpenAI: Translate Natural Text to SQL

Rudi Hinds

Instructor: Rudi Hinds

Included with Coursera Plus

Learn, practice, and apply job-ready skills with expert guidance
Intermediate level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
Intermediate level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Load data from CSV file and convert to local Pandas dataframe to ready for interaction

  • Create SQL-like table definition prompt based on dataframe columns to have a local database to query

  • Construct GPT prompt to retreive an SQL query to run against our database to extract insights from our data

Details to know

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Taught in English
No downloads or installation required

Only available on desktop

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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Install libraries and configure OpenAI API

  2. Load and inspect data from CSV

  3. Create in-memory SQLite database and table from data

  4. Craft SQL prompt for OpenAI API

  5. Use prompt to generate SQL query and execute against database

Recommended experience

Python, ChatGPT API, Jupyter Notebooks, SQL

6 project images

Instructor

Rudi Hinds
Coursera Project Network
40 Courses55,132 learners

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How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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