Python Interactive Dashboards With Plotly Dash (New Version)

Learn to create interactive Python dashboards (data visualizations) using plotly Dash, with real-world example datasets

What you'll learn
How to set up the layout of dashboards with Dash components
How to create a dashboard with data visualizations
How to make the dashboards interactive
How to customize the appearance of the dashboard
Create a dashboard using real-world datasets
Make more dynamic dashboards with chained interactive features
Create a live updating dashboard
Add buttons to dashboards
Create interactive graphs that are clickable
Create data tables in dashboards
Create a grid layout in dashboards
Create a dashboard with a navigation bar and cards
Use Plotly to create plots including line charts, choropleth maps, candlestick charts
Basics of Python with a crash course
Requirements
Basic Python ONLY (or please take the Python Crash Course included in the course)
Description
Welcome to your plotly Dash course!So you've got some hard analysis done, how can you nicely present them too?Dash and Plotly in Python can help! They empower you to visualize your critical insights and KPIs in web apps that are easily sharable.Following this course, you'll learn to build dashboards from scratch, by customizing their look and adding interactive features, with all free Python libraries.Throughout the course, you'll be using three real-world datasets to create dashboards. They will make your learning experience more practical. So that you can easily apply the skills to build your own dashboards after taking this course.Data visualization is critical for data science. Don't miss the opportunity to learn this new skill of creating dashboards with Python! This course includes instructional videos that walk you through the process step-by-step. You can learn at your own pace, and download the Python scripts to use for your own projects.Besides Dash, you'll also get a chance to use other key data science libraries, including pandas and plotly. It's ok if you haven't used them before. We'll break down and explain the process within the course. So that you can still follow along!Cheers,Lianne and JustinPreview image designed by freepik

Overview

Section 1: Let's get started!

Lecture 1 Course overview

Section 2: Python crash course (optional)

Lecture 2 Setting up Python environment

Lecture 3 Overview of data types, numeric, define variables

Lecture 4 Strings, common functions and methods

Lecture 5 Lists, tuples, sets, dictionaries, booleans

Lecture 6 if statements, loops

Lecture 7 Define functions, use packages

Lecture 8 Pandas Tutorial

Lecture 9 Plotly Express Tutorial

Section 3: Intro to Plotly Dash

Lecture 10 What is Dash

Lecture 11 Creating your first dashboard

Section 4: Building the layout of dashboards

Lecture 12 HTML components overview

Lecture 13 Core components overview

Lecture 14 Please help us!

Section 5: Making dashboards interactive with Callbacks

Lecture 15 Intro to callbacks

Lecture 16 Building callbacks with single Input & Output

Lecture 17 Creating interactive Plotly figures

Lecture 18 Building callbacks with multiple Inputs & Outputs

Lecture 19 Chaining callbacks' Inputs and Outputs

Lecture 20 Controlling callbacks with States (Button)

Section 6: Quiz 1

Section 7: Capstone project I

Lecture 21 Avocado prices dashboard overview

Lecture 22 Practice Exercise: Making an avocado prices dashboard

Section 8: Customizing the look of dashboards

Lecture 23 Customizing with inline CSS

Lecture 24 Customizing with external CSS

Lecture 25 Creating a grid layout

Lecture 26 Building a navigation bar

Lecture 27 Building a deck of cards

Section 9: Case study I: creating an interactive map dashboard

Lecture 28 Setting up the layout: RangeSlider

Lecture 29 Setting up the layout: Choropleth map

Lecture 30 Setting up the layout: DataTable

Lecture 31 Adding callbacks: update the map

Lecture 32 Adding callbacks: update the DataTable

Section 10: Case study II: building a live updating financial dashboard

Lecture 33 Setting up the layout: Input & Button

Lecture 34 Setting up the layout: Candlestick & DataTable

Lecture 35 Setting up the layout: Tabs

Lecture 36 Setting up the layout: Interval

Lecture 37 Adding callbacks: live update the chart

Lecture 38 Adding callbacks: live update the DataTable

Section 11: Quiz 2

Section 12: Capstone project II

Lecture 39 Life expectancy dashboard overview

Lecture 40 Practice Exercise: Making a life expectancy dashboard

Section 13: Bonus materials

Lecture 41 Intro to Jupyter Dash

Section 14: Bonus section: congrats and thank you!

Lecture 42 Bonus lecture

Any Python programmers who want to present their analyses in interactive web-based dashboards