Real-Time Dashboards in Python: Streamlit & Live Data

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. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.