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Streamlit

Learn Streamlit to create interactive web apps and dashboards. Build and deploy data-driven applications using Python effortlessly.
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MIT
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Streamlit

Introduction to Streamlit

Streamlit is an open-source Python framework that enables you to quickly build and share interactive web applications for data science and machine learning. This course introduces participants to Streamlit, providing the skills to turn data scripts into powerful, user-friendly applications without the need for extensive web development knowledge.

Designed for data scientists, Python developers, analysts, and students, the course covers the fundamentals of Streamlit, including creating dynamic dashboards, integrating machine learning models, handling user inputs, and deploying applications. You will learn how to visualize data, add interactivity to your projects, and share your applications with stakeholders or the public.

Through practical exercises and hands-on projects, participants will build real-world applications for domains like business analytics, machine learning visualization, and data exploration. By the end of this course, you’ll be able to create and deploy fully functional, customized web applications that enhance collaboration and make data insights more accessible.

This course is ideal for anyone looking to combine Python skills with web application development, simplify workflows, and deliver impactful, interactive data solutions using Streamlit.

Course details
Duration 6 weeks
Lectures 5
Level Intermediate

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Working hours

Monday 24 Hrs Online
Tuesday 24 Hrs Online
Wednesday 24 Hrs Online
Thursday 24 Hrs Online
Friday 24 Hrs Online
Saturday 24 Hrs Online
Sunday 24 Hrs Online