Learn Streamlit Python from Scratch || Streamlit Bootcamp
Build data apps & ML web apps quickly with Python & Streamlit. Create beautiful, interactive dashboards and machine learning solutions. Learn to deploy faster!
Course Content
Learn Streamlit Python from Scratch || Streamlit Bootcamp is an all-levels Udemy course taught by Adith Sreeram. It runs 3h 5m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 15 reviews, with 63 students enrolled. It is a paid course, first published July 2021.
Unlock the Power of Streamlit: Build Data Science & Machine Learning Apps with Python
Frustrated with lengthy web app development for your data science projects? Do you wish you could quickly create compelling Minimum Viable Products (MVPs) to showcase your data insights? Discover Streamlit, the revolutionary Python framework designed to streamline the creation of interactive data science and machine learning web applications.
This comprehensive course is your go-to resource for mastering Streamlit and building powerful web apps with Python. Learn to rapidly develop applications, saving you valuable time and effort – often reducing development from days or weeks to just hours!
What you'll learn:
- Streamlit Fundamentals: Grasp the core concepts and essential building blocks of the Streamlit framework.
- Working with Text: Effectively display and manipulate text-based data within your applications.
- Interactive Widgets: Implement dynamic controls like buttons and sliders to enhance user interaction.
- Data Visualization: Display data in engaging and informative ways using charts and plots.
- Media Integration: Incorporate media files (audio, images, and video) into your Streamlit apps.
- Streamlit Layouts: Master the art of structuring your app's interface for optimal user experience.
- File Uploads: Enable users to easily upload data directly into your applications.
- Streamlit Static Components: Add pre-built components to enhance your app's functionality.
Build Stunning Data Visualization Apps & Full Web Applications
By the end of this course, you'll be able to:
- Build data science apps in hours, not days.
- Productionize your machine learning models into robust web applications using Streamlit.
- Create cool and engaging data apps to share your insights.
- Deploy your Streamlit apps effortlessly using Docker, Heroku, Streamlit Share, and more.
This course provides a practical, hands-on approach to building real-world data and ML apps. You'll build a portfolio of applications to showcase your skills and add a valuable new skill to your resume.
Who is this course for?
- Beginner Python Developers: Learn Streamlit and quickly build data-driven applications.
- Data Scientists & ML Engineers: Accelerate the deployment of your models with a user-friendly framework.
30-Day Money-Back Guarantee: We're confident you'll love this course. Enroll now and get your money back if you're not completely satisfied – no questions asked! Join us and explore the exciting world of building data and machine learning apps with Streamlit!
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