Build with AI: LLM-Powered Data Analysis App with Python and Streamlit
With Maggie Ma
Liked by 81 users
Duration: 1h 35m
Skill level: Intermediate
Released: 9/12/2025
Course details
In this quick, hands-on course, learn to build a lightweight, AI-powered data analysis tool using Python, Streamlit, and the OpenAI API. Instructor Maggie Ma shows you how to upload a dataset and ask questions in plain English—your app will convert the input into code (Python or SQL), run it, and return useful insights. Perfect for technical teams looking to support non-technical stakeholders, this course takes you through building and testing a natural language interface for structured data. No prior experience with LLMs is needed—just Python and a bit of pandas—and you’ll finish the course with a working prototype you can expand or deploy internally.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out “GitHub Codespaces setup" with this course to learn how to get started.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Jaime G.
Jaime G.
BI Consultant | Transforming Data Chaos into Strategic Clarity | Power BI • SQL • Python • DAX | 8+ Years Building Dashboards That Drive Decisions.
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Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone