Python Interactive Dashboards with Plotly Dash (new version)

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


  • Basic Python ONLY (or please take the Python Crash Course included in the course)


Python Interactive Dashboards with Plotly Dash (new version)

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!


Lianne and Justin

Preview image designed by freepik

Who this course is for:

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

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