Interactive Data Apps with Streamlit and GitHub

Transform static data analysis into dynamic, shareable web applications without prior web development background. This text-based course guides you through creating responsive data dashboards in Python using Streamlit and managing your source code with GitHub. What you'll learn: Understand core principles of web-based data visualization and reactive application state. Build clean user interfaces using Streamlit widgets, layout containers, and data tables. Integrate modern plotting tools for interactive data exploration. Optimize app performance with modern caching patterns and structured data pipelines. Configure Git version control workflows and publish your project repositories on GitHub. Organize dependencies and project architecture for reproducible environments. You will begin with fundamental terminology, local environment configuration, and UI basics before building functional dashboards and publishing your projects. Designed specifically for beginners and data enthusiasts ready to present their insights effectively. Start learning interactive data app development and elevate your portfolio today.