Free · Self-Paced · Ships Working Code

Build a Data Dashboard.
5 Days. Zero Cost.

Go from blank file to a fully interactive Streamlit dashboard connected to real data. With AI-powered natural language queries on Day 5. No frontend experience needed.

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Free forever · No credit card · No spam

dashboard.py
import streamlit as st
import plotly.express as px
import pandas as pd

df = pd.read_csv("sales.csv")
region = st.selectbox("Region", df["region"].unique())
filtered = df[df["region"] == region]

fig = px.line(filtered, x="date", y="revenue")
st.plotly_chart(fig)
5
Days of Lessons
Free
Forever
1
Full App Built
AI
Natural Language Layer
Why This Course

A dashboard you can actually deploy

Most dashboard tutorials end with a static chart. This course ends with a live app you can share with a URL — interactive filters, real data, and an AI layer on top.

Streamlit, not React

Build interactive dashboards in pure Python. No JavaScript, no HTML, no CSS. If you can write Python, you can ship a professional app.

Plotly charts

Plotly charts are interactive out of the box — hover, zoom, filter. Every chart in this course is Plotly, not matplotlib.

AI on Day 5

Day 5 adds a natural language interface — users type questions about the data and Claude answers. Real AI integration, not a demo.

The Curriculum

5 days. One complete app.

1
Day 1

Streamlit Basics — Your First Dashboard in 20 Minutes

Install Streamlit, understand the render loop, and build a working dashboard from scratch in under 20 minutes.

~60 minst.writest.dataframest.metric
Start
2
Day 2

Charts and Visualizations — Plotly Integration

Build line charts, bar charts, scatter plots, and maps with Plotly Express. Every chart is interactive.

~65 minplotly.expresspx.linepx.bar
Start
3
Day 3

Filters, Sliders, and Interactivity

Add selectboxes, multiselects, date range pickers, and sliders. Wire them to charts. Make your dashboard actually interactive.

~70 minst.sidebarst.selectboxst.date_input
Start
4
Day 4

Connect to Real Data Sources — CSV, SQL, APIs

Load data from uploaded files, SQLite/PostgreSQL, and REST APIs. Add caching so your dashboard loads fast.

~70 minst.cache_dataSQLAlchemyrequests
Start
5
Day 5

Add AI — Natural Language Data Queries with Claude

Add a chat interface where users ask questions about the data in plain English. Claude generates pandas code, runs it, and shows the result.

~75 minClaude APIst.chat_messageCode execution
Start
Get Started

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FAQ

Common questions

Do I need web development experience?

No. Streamlit is pure Python. If you know basic Python (variables, functions, loops), you can take this course.

Do I need a Claude API key for Day 5?

Yes. Anthropic's API gives $5 free credits on signup. Day 5 will use less than $0.10 of that.

Can I deploy the dashboard publicly?

Yes. Streamlit Community Cloud hosts apps for free. Day 4 covers deployment so anyone can access your dashboard via a URL.