Are you having difficulties trying to build web applications for your data science projects? Do you spend more time trying to create a simple MVP app with your data to show your clients and others? Then let me introduce you to Streamlit - a python framework for building web apps.

Welcome to the coolest online resource for learning how to create Data Science Apps and Machine Learning Web Apps using the

awesome Streamlit Framework and Python.

This course will teach you Streamlit - the python framework that saves you from spending days and weeks creating

data science and machine learning web applications.

In this course, we will cover everything you need to know concerning streamlit such as

• Fundamentals and the Basics of Streamlit ;

- Working with Text

- Working with Widgets (Buttons, Sliders,

- Displaying Data

- Displaying Charts and Plots

- Working with Media Files (Audio, Images, Video)

- Streamlit Layouts

- File Uploads

- Streamlit Static Components

• Creating cool data visualization apps

• How to Build A Full Web Application with Streamlit

By the end of this exciting course, you will be able to

• Build data science apps in hours not days

• Productionized your machine learning models into web apps using streamlit

• Build some cools and fun data apps

• Deploy your streamlit apps using Docker, Heroku, Streamlit Share, and more

Join us as we explore the world of building Data and ML Apps.

At the end of the course, you will have built several applications that you can include in your data science portfolio. You will also have a new skill to add to your resume.

The course also comes with a 30-day money-back guarantee. Enroll now and if you don't like it you will get your money back no questions asked.

Who this course is for:

• Beginner Python Developers curious about Streamlit

• Data scientists and ML Engineers who want to production sized their Models faster