Real-Time Dashboards in Python: Streamlit & Live Data
Completed by Julien Gaydon
August 20, 2026
8 hours (approximately)
Julien Gaydon's account is verified. Coursera certifies their successful completion of Real-Time Dashboards in Python: Streamlit & Live Data
What you will learn
Architect multi-page real-time dashboards in Streamlit with proper state management and data flow patterns
Implement multiple live data ingestion strategies: REST API polling, WebSocket streaming, and scheduled data fetching
Build live-updating visualizations using Plotly including candlestick charts, streaming line charts, heatmaps, and depth charts
Skills you will gain
- Category: Python Programming
- Category: UI Components
- Category: Data Persistence
- Category: NumPy
- Category: Technical Analysis
- Category: Event Monitoring
- Category: Data Visualization
- Category: Scalability
- Category: Data Analysis
- Category: Restful API
- Category: Heat Maps
- Category: Dashboard
