At a Glance

Name: Build a LangChain-based AI-powered Data Analysis Assistant
Price: Free CAD
Rating: 0.0 (0 reviews)
Author: kunal_makwana, wilbur_elbouni, karan_goswami, joseph_santarcangelo

Learn LangChain tools and agents while developing a data science assistant to automate tasks from exploring CSVs to training ML models. This project guides you through creating a natural language interface that makes data analysis accessible to non-technical users. Build specialized tools that handle everything from listing available datasets to generating statistics and evaluating machine learning models. Learn how AI agents interpret user requests, select appropriate tools, and execute complex data workflows through conversation.

Imagine having a data analyst at your fingertips who understands natural language and can perform complex analyses without requiring you to write a single line of code. What if you could simply ask questions about your data and receive immediate insights, visualizations, and even predictive models? This is the power of combining language models with specialized data science tools.

In this hands-on lab, you'll build a conversational AI system that makes data science accessible to everyone in your organization—from marketing specialists analyzing customer segments to executives exploring sales trends, all without technical barriers.

Project Overview

This lab teaches you to create an intelligent assistant that handles the entire data workflow through natural language requests:

1️⃣ Data Discovery & Exploration - Automatically identify available datasets, summarize their structure, and provide quick statistics
2️⃣ Analysis & Visualization - Transform requests like "Show the relationship between customer age and spending" into visualizations
3️⃣ Predictive Modeling - Train and evaluate machine learning models through conversation
4️⃣ Context Management - Maintain conversation history to enable follow-up questions and complex analyses

By connecting specialized LangChain tools through an agent executor, you'll create a seamless experience where users can move from raw data to actionable insights using only conversation.

What You'll Learn

By completing this lab, you will:

Design effective tool-based agents that reason about when to use specific data functions
Build a collection of specialized tools for different data science tasks
Create multi-step workflows that maintain context across analyses
Implement natural language interfaces to technical data processes
Learn how to handle ambiguous user requests with clarification techniques

Who Should Do This Lab

This project is ideal for:

Developers looking to build practical AI applications with immediate business value
Data scientists wanting to make their expertise available to non-technical colleagues
Technical leaders exploring how AI can democratize data-driven decision making
AI enthusiasts interested in creating assistants that solve real-world problems

No advanced ML expertise required—basic Python knowledge and curiosity about AI applications are all you need.

What You Need

✅ A browser to access the lab environment
✅ Basic Python knowledge (understanding functions and data structures)
✅ Familiarity with data concepts (CSV files, simple statistics, basic ML terms)

By the end of this project, you'll have built an AI assistant that transforms how people interact with data—enabling anyone to ask questions and receive insights without writing code.

Offered By: IBMSkillsNetwork

Build a LangChain-based AI-powered Data Analysis Assistant

At a Glance

Project Overview

What You'll Learn

Who Should Do This Lab

What You Need