Streamlit New Comprehensive course for building Data Apps

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Nagaraj G

8:01:42

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1. Introduction

1. Introduction.mp4

01:22

2. What is Streamlit and Why learn Streamlit.mp4

04:07

3. Getting Started and Installation.mp4

03:20

2. Displaying textmessages in Streamlit

1. Markdown, Title, Header, Sub-header, Help text, LaTex.mp4

31:20

3. Displaying Data on the App

1. Different ways to display data, tabular data in streamlit.mp4

02:06

2. How to displayformat dataframe using streamlit.mp4

15:42

3. How to display MetricsKPIs and static table in Streamlit.mp4

13:20

4. Input Widgets

1. Introduction to Widgets in Streamlit.mp4

01:47

2. Button, Download-button and Checkbox.mp4

30:11

3. Radio Button.mp4

18:03

4. Select box or Dropdown list for single selection.mp4

08:12

5. Multi values selection, Sliding bar.mp4

24:04

6. Text input-widget to input single line text.mp4

06:51

7. Widgets to input number, Date and Time.mp4

13:35

8. Text Area to input larger text, File upload.mp4

15:43

5. Visualizations and Chart in Streamlit

1. 1.Introduction.mp4

01:21

2. Line chart, Bar chart, Area chart and Pyplot.mp4

17:46

3. Altair chart, Plotly, Bokeh Interactive Chart.mp4

11:53

4. Pydeck and Map using streamlit.mp4

06:56

6. Layout and Containers in Streamlit

1. Introduction.mp4

03:49

2. Sidebar.mp4

09:47

3. Columns Layout.mp4

09:14

4. Multi Tabs layout.mp4

06:02

5. Expander.mp4

04:32

6. Container.mp4

05:47

7. Empty Container.mp4

08:42

7. Status Element

1. Introduction to status widgets.mp4

04:30

2. Widgets for status messages-warning, error, success, exceptions, waiting.mp4

14:32

8. Advanced Concepts

1. Caching-Introduction to Caching in streamlit.mp4

03:14

2. Caching-How to improve the app's performance.mp4

08:39

3. Session State- Introduction to session state.mp4

02:59

4. Session State-How populate Widget during app Execution.mp4

14:23

5. Theming and Page Configuration-Introduction.mp4

02:52

6. Theming and Page Configuration-How to Configure App.mp4

25:25

9. Control Flow in Streamlit

1. Introduction to Control Flow.mp4

01:05

2. How to halt the processing of the App using Control flow.mp4

05:02

3. Form and Form Submit button.mp4

14:42

10. Deploy and share streamlit App using Cloud

1. Introduction to streamlit community cloud.mp4

02:34

2. Integrate GitHub to community cloud and deploy app.mp4

04:46

11. Project Build and Deploy Work Order Management App

1. Introduction to Work Order Management App.mp4

03:24

2. High level design and Pseudocode.mp4

21:20

3. Development and Deployment of the App.mp4

01:16:43

Description

Learn end-to-end features of Streamlit to build Data apps for Analytics- Data Engineering, Data Science

What You'll Learn?

Learn the basic and some advanced features of Streamlit
Hands-on streamlit features to build UI widgets
How to build Data apps/Web apps for Data Science and Data Analytics applications
How to deploy Streamlit data app from GitHub to community cloud for Free
Overview of Data Apps for analytics

Who is this for?

Data scientists, Data professionals and anyone who is interested in creating UI apps for analytics

What You Need to Know?

Basic understanding of python programming

More details

Description
Welcome to "Building Data Apps with Streamlit"! In this comprehensive course, you will learn how to leverage the power of Streamlit to build interactive and user-friendly data applications.
Streamlit is a Python library that allows you to quickly and easily create web-based data apps with just a few lines of code. It simplifies the process of building interactive dashboards, visualizations, and data exploration tools, making it an ideal choice for data scientists, analysts, and developers.

Here's a breakdown of the main topics covered in the course:
1. Introduction
Welcome to the course
What is Streamlit and Why Learn Streamlit
Getting started and Installation
2. Displaying text/messages in Streamlit
Different ways to display text on the app- markdown, title, header, sub-header, help text, LaTex
3. Displaying Data on the App
Different ways to display data, tabular data in streamlit
How to display/format dataframe using streamlit
How to display Metrics/KPIs and static table in Stream
4. Input Widgets
Widgets in Streamlit
Button, Download-button and Checkbox
Radio Button
Select box
Multi values selection, Sliding bar
Text input( widget to input single text line)
Widgets to input number, Date and Time
Text Area to input larger text, File upload
5. Visualizations and Chart in Streamlit
Introduction
Line chart, Bar chart, Area chart and Pyplot
Altair chart, Plotly, Bokeh Interactive Chart
Pydeck and Map using streamlit
6. Layout and Containers in Streamlit
Introduction
Sidebar
Columns
Multi Tabs layout
Expander
Container
Empty
7. Status Element
Introduction to status widgets
Widgets for status messages-warning, error, success, exceptions, waiting
8. Control Flow in Streamlit
Introduction
How to halt the processing of the App using Control flow
Form and Form Submit button

9 Advanced Concepts
9.1 Caching in Streamlit
Introduction to Caching in streamlit
How to improve the app's performance using Caching
9.2 Session State
Introduction
How to use session state to populate widget
9.3 Theming and Page Configuration
Introduction
How to configure Theme and Page inÂ Streamlit App

10. Deploy and share streamlit App using Cloud
Introduction to streamlit community cloud
Integrate GitHub to community cloud and deploy app
11. Project: Build and Deploy Work Order Management App
Introduction to Work Order Management App
High level design and Pseudocode
Development and Deployment of the App
12. Congratulations and Bonus chapter

Who this course is for:
Data scientists, Data professionals and anyone who is interested in creating UI apps for analytics

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Data Science

Nagaraj G

Instructor's Courses

Hello, I am a Data Engineer who is enthusiastic about data and addressing real-world problems using data and technology. I'd want to be mentored as well as learn from others. Experienced in data engineering, data quality, and developing business KPIs to assist businesses in making sound decisions.Looking foreword to connect with people to learn from them and share my knowledge

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