Interactive Python Dashboards with Plotly and Dash

Learn how to create interactive plots and intelligent dashboards with Plotly, Python, and the Dash library!
4.61 (9027 reviews)
Udemy
platform
English
language
Data Science
category
Jose Portilla
instructor
Interactive Python Dashboards with Plotly and Dash
50 415
students
9.5 hours
content
Sep 2019
last update
$124.99
regular price

What you will learn

Learn about Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more!

Create Layouts with Plotly's Dash library.

Use Dash to create interactive components with Plotly.

Learn how to connect multiple inputs and outputs with a dashboard.

Update live interactive graphs with clicks, hover overs, and more.

Connect the interactive dashboard to live updating data for streaming information.

Learn how to secure your interactive dashboards with App Authorization.

Deploy your interactive dashboards to the internet with services like Heroku.

Course Gallery

Interactive Python Dashboards with Plotly and Dash – Screenshot 1
Screenshot 1 – Interactive Python Dashboards with Plotly and Dash
Interactive Python Dashboards with Plotly and Dash – Screenshot 2
Screenshot 2 – Interactive Python Dashboards with Plotly and Dash
Interactive Python Dashboards with Plotly and Dash – Screenshot 3
Screenshot 3 – Interactive Python Dashboards with Plotly and Dash
Interactive Python Dashboards with Plotly and Dash – Screenshot 4
Screenshot 4 – Interactive Python Dashboards with Plotly and Dash

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Our Verdict

Interactive Python Dashboards with Plotly and Dash

What We Liked

  • Covers a wide range of topics related to Plotly and Dash, providing a solid foundation for creating interactive plots and dashboards.
  • The instructor is knowledgeable and passionate, delivering clear explanations that make complex ideas accessible.
  • Includes exercises at the end of each lecture to practice theoretical knowledge and improve understanding.
  • Highlights real-life use cases demonstrating how to integrate Dashboards into professional environments.

Potential Drawbacks

  • Some course content is outdated, causing issues when working with newer libraries, dependencies or tools. This may require additional problem-solving skills from learners.
  • Explanations could occasionally be more specific and in-depth to facilitate learning for absolute beginners.
  • The course's pace varies; the quality of instruction is superior at the beginning but diminishes as lectures progress, particularly around lecture 62.

Related Topics

1575562
udemy ID
01/03/2018
course created date
14/08/2019
course indexed date
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course submited by