Udemy - Learn Streamlit Python from Scratch Streamlit Bootcamp

What you'll learn:
To create and deploy Web Applications using Streamlit
Requirements
Just have a basic knowledge on Python
Description
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 Descriptions
- 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
Who this course is for
Beginner Python students who are curious about Data Science and Machine Learning
Individuals interested in building data science and machine learning applications in Python