DATA ENGINEERING

Data Engineering with Jupyter MCP

Build data notebooks by chatting with your IDE

Data Engineering with Jupyter MCP project preview
Jupyter
Cursor

Difficulty

Beginner

Time to complete

60 minutes

Availability

Pro

BUILD

What you'll build

Connect Jupyter to PostgreSQL and create data visualizations with natural language. Query databases and build charts without memorizing SQL.

1. Connect Cursor to Jupyter via chat

Set up the Jupyter MCP server in Cursor settings. Verify your connection is active so you can control notebooks through plain English chat

2. Build your first data notebook

Create demo.ipynb with markdown cells for context and Python code cells. Write queries that fetch real customer data from PostgreSQL

3. Launch Jupyter and run your notebook

Start Jupyter Lab in your browser and execute your notebook cells. See live query results appear instantly as you explore the data

4. Create and enhance visualizations

Ask Cursor to generate bar charts showing customer distribution. Improve styling and add professional touches through natural conversation

Your portfolio builds as you work.

Every project documents itself as you go. Finish the work, and your proof is ready to share.

PROJECT

Real world application

Skills you'll learn

  • Jupyter Notebooks

    Interactive Python environment for data analysis and exploration

  • Python Data Work

    Use psycopg and pandas to manipulate database results

  • Model Context Protocol

    Connect AI assistants to data sources and external tools

  • Database Queries

    Fetch and transform data from PostgreSQL in notebooks

  • Data Visualization

    Create bar charts and visual insights with Matplotlib

  • Pipeline Automation

    Build reproducible data workflows you can run repeatedly

Tech stack

  • Jupyter logo

    Jupyter

    Interactive notebook environment for Python data analysis and visualization

  • Cursor logo

    Cursor

    AI code editor that controls Jupyter notebooks through natural language

NextWork is a platform that actually gives you projects to do and get proficient at or to cater to my learning style. It walks you through how to build things. And I love that solid learning.

Derrick

Current NextWork Student

OUTCOME

Where this leads.

Relevant Jobs

Roles where these skills matter:

  • Data Engineer
  • Analytics Engineer
  • Backend Engineer
  • Data Analyst
  • Business Intelligence Developer

Data Engineering with MCPs

Continue your data engineering journey. Build real-time pipelines, analytics dashboards, and production data systems

Data Engineering with MCPs

JupyterCursor

One Project. Real Skills.

60 minutes from now, you'll have completed Data Engineering with Jupyter MCP. No prior experience needed. Just step-by-step guidance and a real project for your portfolio.

Let's Build This

Beginner-friendly