Introduction to Large Language Models with GPT & LangChain
Learn Data Analysis with GPT and LangChain for Effective Python-Driven Insights
Created by Vincent Vankrunkelsven, DataLab
Discover how to use large language models like GPT with LangChain to analyze real-world data. You'll work with electric vehicle registration data from Washington state, exploring trends and visualizing results through Python-driven workflows. Learn how conversational AI can streamline your data analysis and help you uncover actionable insights.
DataLab | Mar 2025 | 44 min
What You Will Learn
You'll get hands-on practice by interacting directly with GPT and LangChain to import, clean, and analyze data. Through guided exercises, you'll ask questions, generate Python code, and visualize results, all while learning how conversational memory supports a smooth workflow. Each step builds practical skills you can apply to your own projects.
Key Features
- Analyze real-world datasets using GPT and LangChain for deeper insights
- Create and visualize data trends with Python code generated through AI
- Maintain context and automate repetitive analysis tasks with conversational workflows
Target Audience
Perfect for beginners in data analysis or Python who want to see how AI can enhance their workflow. If you're curious about large language models and want to automate coding tasks or visualize data more effectively, this course will help you get started. A basic understanding of Python is helpful, but no prior experience with GPT or LangChain is needed.
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