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Interactive Dashboards and Data Apps with Plotly and Dash

Gain insights into creating interactive dashboards and data apps with Plotly Dash. Learn to build, customize, and deploy data-driven applications with various controls and charts effectively.

4.5

102 Lessons

2 Projects

27h

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LEARNING OBJECTIVES

An understanding of the Dash ecosystem and how to add interactive functionality to the app using callback functions
Working knowledge of plotting bar charts, scatterplots, map plots, and histograms using Plotly's Figure object
Hands-on experience adding interactivity using sliders, drop-down menus, and interactive tables
Hands-on experience using KMean clustering to test and evaluate a model with machine learning
The ability to add multiple pages in an app and use URLs as inputs and outputs to interact with different elements in the app
Hands-on experience deploying an app on a server

Learning Roadmap

102 Lessons11 Quizzes

Plotly's Dash Framework

Get familiar with creating analytic data apps and interactive dashboards using Plotly's Dash.

Introduction to the Course

Overview of the Dash Ecosystem

Get started with the essentials of building Dash apps for interactive data visualization.

Introduction: The Dash Ecosystem

Exploring Dash and Other Supporting Packages

Creating and Running a Simple App

Structuring the Layout and Managing Themes

Summary: The Dash Ecosystem

Quiz: The Dash Ecosystem

Exploring the Structure of a Dash App

7 Lessons

Break apart the core structure of Dash apps using Jupyter for interactivity.

Working with Plotly's Figure Objects

7 Lessons

Break down complex ideas on creating, modifying, and converting Plotly's Figure objects.

Data Manipulation and Preparation using Plotly Express

10 Lessons

Solve problems in data manipulation, reshaping DataFrames, and creating visualizations using Plotly Express.

Interactively Comparing Values with Bar Charts and Drop-Down Menus

8 Lessons

Investigate creating dynamic dashboards with bar charts and drop-down menus for effective data visualization.

Exploring Variables and Filtering Subsets

9 Lessons

Practice using Plotly and Plotly Express for customizable, interactive scatterplots and data filtering.

Time Series Analysis and Visualization Using Python and Plotly

Project

Premium

Exploring Map Plots and Enriching Dashboards with Markdown

7 Lessons

Step through creating engaging map plots, implementing Markdown, and using dynamic interactive maps.

Calculating the Frequency of Data with Histograms and Tables

9 Lessons

Discover the logic behind visualizing data distributions using histograms and DataTables in Dash.

10.

Letting the Data Speak for Itself with Machine Learning

10 Lessons

Examine machine learning-driven data clustering, optimization, and interactive app creation with KMeans.

11.

Turbocharge Apps with Advanced Callbacks

7 Lessons

Break down the steps to enhance app interactivity with advanced dynamic callbacks.

12.

URLs and Multipage Apps

7 Lessons

Take a closer look at creating dynamic multipage applications using URLs and Dash components.

13.

Deploying the App

8 Lessons

Follow the process of deploying Dash apps, establishing workflows, managing servers, and scaling with Dash Enterprise.

14.

Next Steps

5 Lessons

Master the steps to enhancing data skills, optimizing visuals, deploying machine learning, and utilizing Dash Enterprise.

15.

Appendix

Get familiar with setting up the environment for building Dash applications.

Setting up the environment

Build Data-centric Dashboards Using Dash

Project

Premium

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

ABOUT THIS COURSE

Plotly's Dash framework allows Python programmers to develop complete analytic data apps and interactive dashboards. You'll start with an overview of the Dash ecosystem, its main packages, and the available third-party packages crucial for structuring and building different parts of your apps. Next, you will learn how to create a basic Dash app and add different features to it. You'll then integrate controls in the app—such as drop-downs, checkboxes, sliders, date pickers, and more—and then link them to charts and other outputs. Depending on the data you are visualizing, you will also add several types of charts including scatter plots, line plots, bar charts, histograms, maps, as well as explore the options available for customizing them. By the end of this course, you’ll have the skills you need to create and deploy an interactive dashboard, be able to handle complexity and code refactoring, and know how to improve your application.

ABOUT THE AUTHOR

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