Queries with OpenAI: Translate Natural Text to SQL

Queries with OpenAI: Translate Natural Text to SQL

Instructor: Rudi Hinds

Access provided by Niantic, Inc.

1,580 already enrolled

Guided Project

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 more

Guided Project

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 more

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

Skills you'll practice

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

No downloads or installation required

Only available on desktop

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Learn, practice, and apply job-ready skills in less than 2 hours

Receive training from industry experts
Gain hands-on experience solving real-world job tasks
Build confidence using the latest tools and technologies

About this Guided Project

Ever wanted to seamlessly translate natural language into actionable insights from your data? This Guided Project was created to help learners develop the skillset necessary to utilize OpenAI GPT to generate complex SQL queries from natural language prompts to elicit insights against a real sql database.

In this project-based course, spanning 2-hours, you will load data from a CSV file and convert it to a local Pandas dataframe. You will create an SQL-like table definition prompt based on the dataframe. You will use this as well as a user query to build a comprehensive GPT prompt to elicit a real SQL query which we will then use to interact with our data. By the end of this project you will have built a powerful tool that can convert a natural language questions into SQL queries and interactively pull insights from a real-world dataset. In order to be successful with this project you should have some experience in Python programming, working with GPT or GPT API, a working understanding of SQL and a credit card for tokens to use with OpenAI API.

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:

Install libraries and configure OpenAI API
Load and inspect data from CSV
Create in-memory SQLite database and table from data
Craft SQL prompt for OpenAI API
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

41 Courses79,709 learners

Offered by

Coursera Project Network

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.