This fully hands-on course teaches learners to build production-quality real-time dashboards using Streamlit, connecting to live data sources that update automatically without page refreshes. Using a single progressively built project — a Real-Time Global Cryptocurrency Exchange Dashboard — learners will master every critical real-time pattern: WebSocket streaming, REST API polling, st.fragment for partial reruns, live-updating charts with Plotly, alert systems, and multi-page dashboard architecture. The crypto project is ideal because it provides genuinely live 24/7 data (price tickers, order books, trading volume, social sentiment) across multiple data source types — WebSockets for sub-second price feeds, REST APIs for historical OHLCV data, and web-scraped sentiment from social platforms. Every concept is demonstrated by adding a new real-time widget or page to the dashboard. By course end, learners will have a deployed, portfolio-ready real-time analytics platform and the skills to build live dashboards for any domain.

Real-Time Dashboards in Python: Streamlit & Live Data

Real-Time Dashboards in Python: Streamlit & Live Data

Instructor: Board Infinity
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Intermediate level
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7 hours to complete
Flexible schedule
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What you'll 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
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Recently updated!
July 2026
Assessments
4 assignments
Taught in English
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