Learn Streamlit Python from Scratch -- Streamlit Bootcamp

Learn Streamlit Python from Scratch || Streamlit Bootcamp, available at $44.99, has an average rating of 4.45, with 21 lectures, based on 13 reviews, and has 61 subscribers.

You will learn about To create and deploy Web Applications using Streamlit This course is ideal for individuals who are Beginner Python students who are curious about Data Science and Machine Learning or Individuals interested in building data science and machine learning applications in Python It is particularly useful for Beginner Python students who are curious about Data Science and Machine Learning or Individuals interested in building data science and machine learning applications in Python.

Enroll now: Learn Streamlit Python from Scratch || Streamlit Bootcamp

Summary

Title: Learn Streamlit Python from Scratch || Streamlit Bootcamp

Price: $44.99

Average Rating: 4.45

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: ?3,999

Quality Status: approved

Status: Live

What You Will Learn

To create and deploy Web Applications using Streamlit

Who Should Attend

Beginner Python students who are curious about Data Science and Machine Learning

Individuals interested in building data science and machine learning applications in Python

Target Audiences

Beginner Python students who are curious about Data Science and Machine Learning

Individuals interested in building data science and machine learning applications in Python

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-backguarantee. 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

Course Curriculum

Chapter 1: Introduction to the Course

Lecture 1: Introduction to the Learn Streamlit Python from Scratch Course.

Chapter 2: Part1 – Introduction And Basics of Streamlit

Lecture 1: Introduction And Setting up Streamlit

Lecture 2: Using textual functions in Streamlit

Lecture 3: Displaying DataFrames and Code Snippets in Streamlit

Lecture 4: Adding Widgets in Streamlit

Lecture 5: Adding Media Files in Streamlit

Lecture 6: Getting Input from the User

Lecture 7: Understanding Beta Columns function in Streamlit

Lecture 8: Using Data Visualization Libraries in Streamlit – Seaborn, Matplotlib and Plotly

Chapter 3: Part2: Creating a Single Paged Web App using Streamlit

Lecture 1: Intro to Creating a Single Paged Web App

Lecture 2: Overview on our BMI APP

Lecture 3: Creating our Single Paged BMI APP using Streamlit

Chapter 4: Part3: Capstone project – Creating a Multi Paged Web app using Streamlit.

Lecture 1: Overview on our Multi Paged Web app

Lecture 2: Overview on Structuring our Streamlit Web App

Lecture 3: Structuring our Web App

Lecture 4: Structuring our Descriptive Analytics Sub page

Lecture 5: Structuring our Plots Sub page

Lecture 6: Explaining How to Build our Machine Learning Model for Prediction

Lecture 7: Structuring our Prediction Page

Lecture 8: Using our ML Model for Prediction inside Streamlit

Lecture 9: Deploying Our Streamlit

Instructors

Adith Sreeram
Junior Data Scientist

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 2 votes

4 stars: 3 votes

5 stars: 8 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!