Streamlit Course
Master Streamlit to build fast, polished data apps for real users. Learn layout, widgets, caching, testing, deployment, and interactive charts so you can turn Python and pandas workflows into production-ready analytics tools.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Streamlit Course shows you how to build fast, polished data apps from scratch. Learn clean project setup, data loading, validation, and preprocessing, then create interactive layouts, filters, and charts that non-technical users understand. You will add caching, logging, testing, and modular structure, and finish by preparing secure, reliable deployments with clear documentation and configuration files.
Elevify advantages
Develop skills
- Build polished Streamlit UIs: clear layouts, filters, and non-technical UX.
- Optimize Streamlit performance: smart caching, modular code, and fast loads.
- Load and clean data fast: robust CSV parsing, validation, and preprocessing.
- Create interactive charts: time series, comparisons, and dynamic metrics.
- Deploy production-ready apps: config, Docker basics, and secure secrets.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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