Streamlit with Python: Build and Deploy Real-World Data Apps

Streamlit with Python: Build and Deploy Real-World Data Apps

Build interactive data apps with Streamlit & Python, from basics to deployment, using real-world projects and dashboards



Sub Category

  • Web Development

{inAds}

Objectives

  • Build interactive, production-ready data applications using Streamlit and Python
  • Design clean and responsive Streamlit layouts with reusable components
  • Capture and manage user inputs, events, and session state effectively
  • Visualize data using tables, metrics, charts, and interactive plots
  • Create multi-page Streamlit applications with shared state and navigation
  • Optimize app performance using caching and state management techniques
  • Integrate Streamlit apps with databases and external APIs
  • Customize UI using themes, CSS, and branding techniques
  • Deploy Streamlit applications to cloud and production environments
  • Build and deploy real-world projects, including a Personal Finance Tracker & Budget Planner


Pre Requisites

  1. Enthusiasm and determination to make your mark on the world!


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



{inAds}

Coupon Code(s)

Previous Post Next Post