Basics of Streamlit

Basics of Streamlit, available at $19.99, has an average rating of 4.5, with 9 lectures, based on 2 reviews, and has 15 subscribers.

You will learn about Basics of Streamlit Utilizing the various components of Streamlit Creating projects using Streamlit Deploying Streamlit application This course is ideal for individuals who are Beginner python programmer and data science enthusiast It is particularly useful for Beginner python programmer and data science enthusiast.

Enroll now: Basics of Streamlit

Summary

Title: Basics of Streamlit

Price: $19.99

Average Rating: 4.5

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: ?799

Quality Status: approved

Status: Live

What You Will Learn

Basics of Streamlit

Utilizing the various components of Streamlit

Creating projects using Streamlit

Deploying Streamlit application

Who Should Attend

Beginner python programmer and data science enthusiast

Target Audiences

Beginner python programmer and data science enthusiast

Creating a web app and deploying the ML model is the toughest part since most the data science enthusiasts are not familiar with web dev. But Streamlit has made the job extremely easy. Being a Data Science enthusiast, I would like to share and contribute my learnings to the community!

This course introduces you to the basics of Streamlit library. Create professional-looking web applications with python without the knowledge of HTML/CSS.

The course introduces the basic elements of streamlit:

Adding Text and Data to your app

Plotting Graphs

Creating layout

Adding widgets

Changing the theme of your web application

Create a basic web app to understand how to combine streamlit and Machine learning models.

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

create your own web app within few hours

create a user interface for your ML models

deploy your web application

Before you begin, I would suggest you to brush up on your python skills.

I would also suggest coding along for better learning and understanding!

This course is for absolute beginners who want to understand how streamlit works.

I have tried to keep things as simple as possible and therefore you might not find me using the best coding practices.

I prefer using VS Code for coding but feel free to use your favourite editor!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Streamlit

Chapter 2: Displaying text, data and plots using Streamlit

Lecture 1: Displaying text

Lecture 2: Displaying data

Lecture 3: Displaying plots

Chapter 3: Adding widgets, sidebar and layouts

Lecture 1: Adding widgets

Lecture 2: Sidebar, Navigation bar and Status

Lecture 3: Adding layouts

Lecture 4: Change colour scheme of the app

Chapter 4: First web app using Streamlit

Lecture 1: Basic Salary Predictor App

Instructors

Harsh Gupta
Python Enthusiast

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4 stars: 1 votes

5 stars: 1 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!