This course will teach you how to build webapps and dashboards for data science using Streamlit. You will learn how to use the Streamlit library to quickly create beautiful apps that are interactive and easy to deploy. We will also go over some of the surprises of machine learning that can make your apps even more powerful. Finally, we will deploy our webapp online so that anyone can access it. By the end of this course, you will have all the skills you need to build amazing data science apps. So let’s get started!

This is an introductory course to Streamlit for webapps and dashboards of data science. The following topics will be covered:

• Introduction to Streamlit
• Building a simple app
• Adding interactivity to your app
• Deploying your app online
• Surprises of machine learning
• Building an EDA webapp
• Tips and tricks for streamlit development
• Wrapping up

This course is aimed at anyone who wants to learn how to build data science apps. No prior experience with Streamlit or programming is necessary. However, basic knowledge of Python will be helpful. By the end of this course, you will have all the skills you need to build amazing data science apps. So let’s get started!