Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Learn & Deploy Data Science Web Apps with Streamlit

Learn, Develop and Deploy Streamlit web app for Data Science application using just Python
(9 reviews)
107 students
Created by


CourseMarks Score®







Platform: Udemy
Video: 5h 29m
Language: English
Next start: On Demand

Table of contents


Welcome to the course Learn Streamlit for Data Science
Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science that can be used to share analytics results, build complex interactive experiences, and illustrate new machine learning models. In just a few minutes you can build and deploy powerful data apps.
On top of that, developing and deploying Streamlit apps is incredibly fast and flexible, often turning application development time from days into hours.
In this course, we start out with the Streamlit basics. We will learn how to download and run demo Streamlit apps, how to edit demo apps using our own text editor, how to organize our Streamlit apps, and finally, how to make our very own. Then, we will explore the basics of data visualization in Streamlit. We will learn how to accept some initial user input, and then add some finishing touches to our own apps with text. At the end of this course, you should be comfortable starting to make your own Streamlit applications.
In particular, we will cover the following topics:
•Why Streamlit?
•Installing Streamlit
•Organizing Streamlit apps
•Text Elements
•Display Data
•Data Visualization
•Integrating Widgets to Visualizations
•Data Science Project
•Deploy Data Science Web App in Cloud

You will learn

✓ Create powerful streamlit apps
✓ Create beautiful web app in minutes
✓ Build Web App without knowing anything on HTML, CSS, Javascrip
✓ Develop Web Apps in Python
✓ Develop data science web app


• Beginner to Python
• Must know Pandas for Data Analysis

This course is for

• Data Scientist who want to present Data Analysis and machine learning models
Data Scientist
I am Srikanth working as Data Science with a demonstrated history of working in the information technology and services industry. Skilled in Machine Learning, Deep Learning, Statistical algorithms. We mostly worked on Image Processing and Natural Language processing application. I also successfully deployed many data science-related projects in cloud platforms as a service in AWS, Google Cloud, etc.
Platform: Udemy
Video: 5h 29m
Language: English
Next start: On Demand

Students are also interested in