Build a Python Dashboard in 10 Minutes (Beginner Project)

Build a dashboard using Python in this beginner-friendly Streamlit tutorial. In this video, you’ll learn how to turn a dataset into a fully interactive dashboard with filters, charts, and key metrics step-by-step. I’ll walk through a real data analytics project where you will: • Load and display your dataset • Create KPI cards (total revenue & average order value) • Add filters for interactivity • Build charts using grouped data • Design a clean dashboard layout • Run your app using Streamlit This is part of a full data analytics workflow series: 1. Create dataset using Python 2. Clean data using Python 3. Analyze data using Python 4. Build a dashboard using Python (this video) *Watch full series here* : https://www.youtube.com/playlist?list=PLUDxdzmiKmX4yKhhxzByx0JgI7lnom1VN ================================ *Want a shortcut* ? Launch your own dashboard faster with my Data Analyst QuickStart Kit ✔ Full Streamlit App Python Code ✔ 2 Sample CSV Datasets ✔ Quick Start PDF ✔ BONUS Portfolio Project Guide 👉 *Get it here* : https://www.datageekismyname.com/starter-app-kit ================================ *How to download Python, VS Code & Jupyter Notebook* : https://youtu.be/pMtrm7CPlE4?si=PLR655lS-9MwWPFn *FREE Python Starter Course* 👉 https://www.datageekismyname.com/free-python-course This tutorial is perfect for: • Python beginners • Data analyst learners • Anyone building portfolio projects • Students learning Pandas and Streamlit ============================= *Support my channel* 🔔 *Don’t forget to LIKE & SUBSCRIBE for more Python & Data Analysis tutorials!* ☕ *Buy Me A Coffee:* https://buymeacoffee.com/datageekismyname 💎 *Donate on PayPal* : https://www.paypal.com/donate/?hosted_button_id=ZCL24X55R9C5G ============================= *Want a ready-to-use Power BI dashboard template & dataset*? Download it here: 👉 https://www.datageekismyname.com/powerbi-template ⏱️ Timestamp: 00:00 Intro 00:45 Dashboard review 01:04 Open VS Code and create a file, app.py. 02:06 Import Python libraries. 02:16 Create the dashboard title. 02:26 Load the cleaned dataset 04:44 Create dataframe to show table on the dashboard. 03:12 Create a KPI metric 03:59 Building a filter 04:45 Create a bar chart 05:02 Create KPIs and the layout. 05:41 Run the app. 06:24 Runs a blank browser, common issues and how to fix it 09:01 Run the app again after fixing it. 09:16 Review the dashboard in the web browser. 09:50 Outro #streamlit #PythonDashboard #SQL #DataVisualization #PostgreSQL #RealTimeDashboard #PythonProjects #learnpython