Master Streamlit: Build Interactive Data Apps With Python

Master Streamlit: Build Interactive Data Apps With Python
Published 3/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Go from Python scripts to interactive web apps and dashboards. Learn widgets, layouts, vizualization, APIs & deployment

What you’ll learn
Build interactive data dashboards with Python, using Streamlit, without needing web development expertise
Transform static data analyses (Pandas, NumPy) into engaging web applications that can be shared and explored by othersBI Professionals/Report Builders
Create custom data-driven tools and visualizations, using Streamlit components, to prototype ideas and explore datasets rapidly
Deploy interactive Streamlit apps to the cloud and share them with anyone, using free and easy-to-use hosting platforms
Integrate external data sources (CSV, JSON, APIs) into Streamlit apps to create dynamic and up-to-date visualizations
Design intuitive user interfaces for data exploration using Streamlit’s layout options (columns, tabs, expanders)
Customize the appearance of Streamlit apps using themes and custom CSS to match branding or personal preferences

Requirements
Basic computer literacy. No prior programming experience is required. We’ll cover all the necessary Python and Streamlit concepts from the ground up.

Description
Anyone interested in turning Python scripts into interactive web applications,Individuals with some Python experience who want to rapidly prototype data-driven applications and dashboards,Data professionals (analysts, scientists, engineers) who want to share their work interactively and create internal tools, without complex web development,Researchers, academics, and educators who want to create interactive visualizations and simulations to explain concepts or share findings effectively