| CARVIEW |
Select Language
HTTP/2 200
date: Sat, 11 Oct 2025 01:14:22 GMT
content-type: text/html; charset=utf-8
content-encoding: gzip
cache-control: public, max-age=86400
referrer-policy: strict-origin-when-cross-origin
x-app-version: v251008-h-251010-1202
x-content-type-options: nosniff
x-frame-options: SAMEORIGIN
x-xss-protection: 1; mode=block
x-middleware-rewrite: /coursesv4/interactive-dashboards-and-data-apps-with-plotly-and-dash
vary: RSC, Next-Router-State-Tree, Next-Router-Prefetch, Accept-Encoding
x-nextjs-cache: HIT
etag: W/"jl3ooaq0uqcq8n"
x-cloud-trace-context: 9f6caf74cf5abb3f94032fe8dd578349
via: 1.1 google
alt-svc: h3=":443"; ma=86400
cf-cache-status: MISS
set-cookie: __cf_bm=JwbPrdSCa8Su4Sjrq20ctfpAUU9_xSrB5wXLEJtT_Q0-1760145262-1.0.1.1-8IapLwBegwOF86lQfr8YkusdPK1gJNUF3kzTw_8hAyQT2054_BeRVi.f7BmMizI02sFcN1nYGDBxJQR5liEUz4iYD9KLE8_fE2LzmgZuM7w; path=/; expires=Sat, 11-Oct-25 01:44:22 GMT; domain=.educative.io; HttpOnly; Secure; SameSite=None
strict-transport-security: max-age=31536000; includeSubDomains; preload
server: cloudflare
cf-ray: 98ca80130840b22e-BLR
Interactive Dashboards and Data Apps with Plotly and Dash - AI-Powered Course
4.6
Beginner
27h
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.
Join 2.8M developers at
Overview
Content
Reviews
Related
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.
Plotly's Dash framework allows Python programmers to develop complete analytic data apps and interactive dashboards.
You'll st...Show More
WHAT YOU'LL LEARN
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
An understanding of the Dash ecosystem and how to add interactive functionality to the app using callback functions
Show more
Content
102 Lessons11 Quizzes
1.
Plotly's Dash Framework
1 Lessons
Get familiar with creating analytic data apps and interactive dashboards using Plotly's Dash.
2.
Overview of the Dash Ecosystem
6 Lessons
Get started with the essentials of building Dash apps for interactive data visualization.
3.
Exploring the Structure of a Dash App
7 Lessons
Break apart the core structure of Dash apps using Jupyter for interactivity.
4.
Working with Plotly's Figure Objects
7 Lessons
Break down complex ideas on creating, modifying, and converting Plotly's Figure objects.
5.
Data Manipulation and Preparation using Plotly Express
10 Lessons
Solve problems in data manipulation, reshaping DataFrames, and creating visualizations using Plotly Express.
6.
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.
7.
Exploring Variables and Filtering Subsets
9 Lessons
Practice using Plotly and Plotly Express for customizable, interactive scatterplots and data filtering.
8.
Exploring Map Plots and Enriching Dashboards with Markdown
7 Lessons
Step through creating engaging map plots, implementing Markdown, and using dynamic interactive maps.
9.
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
1 Lessons
Get familiar with setting up the environment for building Dash applications.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
Trusted by 2.8 million developers working at companies
"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"
Anthony Walker
@_webarchitect_
"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"
Evan Dunbar
ML Engineer
"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."
Software Developer
Carlos Matias La Borde
"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"
Souvik Kundu
Front-end Developer
"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."
Vinay Krishnaiah
Software Developer
Hands-on Learning Powered by AI
See how Educative uses AI to make your learning more immersive than ever before.
AI Prompt
Build prompt engineering skills. Practice implementing AI-informed solutions.
Code Feedback
Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.
Explain with AI
Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.
AI Code Mentor
AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!
Related Courses and Skill Paths
Free Resources
TRENDING TOPICS
LEGAL
Cookie Settings
