Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 58 Minute(s)
Language
English
Taught by
Jesse E. Agbe
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Create Beautiful Data Apps and Machine Learning Web Apps In Python Faster with Streamlit
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 in 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.
See you in the Course,Stay blessed.
Tips for getting through the course
Please write or code along with us do not just watch,this will enhance your understanding.
You can regulate the speed and audio of the video as you wish,preferably at -0.75x if the speed is too fast for you.
Suggested Prerequisites is understanding of Python
This course is about Streamlit an ML Framework to create data apps in hours not weeks. We will try our best to cover some concepts for the beginner and the pro .
Course Content
- 14 section(s)
- 125 lecture(s)
- Section 1 Introduction
- Section 2 Module 02 - Data Visualization In Streamlit
- Section 3 Module 02 - Streamlit Components & Themes
- Section 4 Module 03 - Project Section - Building Streamlit Apps - NLP Apps
- Section 5 Module 03 - Project Section - Building Streamlit Apps - Text Analysis Apps
- Section 6 Project - Building Streamlit Apps -Data Apps
- Section 7 Module 03 - Project Section - Building Streamlit Apps - Machine Learning Apps
- Section 8 Project - Building Streamlit Apps - CRUD Apps (Create Read Update Delete)
- Section 9 Project - Building a CRUD(Create Read Update Delete) App In Streamlit
- Section 10 Project - Build Streamlit Apps - End to End (StreamBible)
- Section 11 Module 04 - Deploying Streamlit Apps
- Section 12 Module 05 - Streamlit Session States
- Section 13 Streamlit Projects - Misc Apps
- Section 14 Streamlit For LLM Apps
What You’ll Learn
- Learn the basics of Streamlit Framework
- Use Streamlit to create Machine Learning Web Apps and Data Apps
- Deploying Streamlit Python Web Applications
Skills covered in this course
Reviews
-
UUdemy User
The content is fine -- esp. it you can get it on sale. It's a useful way to read st documentation in a guided way. The instructor's accent is fine -- English is not my first language either and I sympathize. BUT the teacher needs to learn to ENUNCIATE. The accent is not an issue; the mumbling is. To improve please take a short public speaking course and learn to pronounce each word. Otherwise, a slightly outdated course that's mostly useful. I don't regret buying it.
-
PPaulo
Awesome - learnt and developed a number of Apps.
-
DDody
so far so good
-
MMarkus Schneider
As far as I am concerned, the course is excellent! Great videos with sufficient details that build up to substance. Jesse's narrative is perfectly fine.
