Python Data Visualization: Dashboards with Plotly & Dash

This is a hands-on, project-based course designed to help you master Plotly and Dash, two of Python’s most popular packages for creating interactive visuals, dashboards and web applications.

We’ll start by introducing the core components of a Dash application, review basic front-end and back-end elements, and demonstrate how to tie everything together to create a simple, interactive web app.

From there we’ll explore a variety of Plotly data analysis and visualization tools, including line charts, scatterplots, histograms and maps. We’ll apply basic formatting options like layouts and axis labels, add context to our visuals using annotations and reference lines, then bring our data to life with interactive elements like dropdown menus, checklists, sliders, date pickers, and more.

Last but not least we’ll use Dash to build and customize a web-based dashboard, using tools like markdown, HTML components & styles, themes, grids, tabs, and more. We’ll also introduce some advanced topics like data tables, conditional and chained callbacks, cross-filters, and app deployment options.

Throughout the course you’ll play the role of a Data Analyst for Maveluxe Travel, a high-end agency that helps customers find flights and resorts based on their travel preferences. Your task? Use Python to create interactive visuals and dashboards to help Maveluxe’s travel agents best support their customers.

COURSE OUTLINE:

• Intro to Plotly & Dash

  • Introduce the Plotly & Dash libraries, and cover the key steps and components for creating a basic Dash application with interactive Plotly visuals

• Plotly Figures & Chart Types

  • Dive into the Plotly library for data analysis and visualization, and use it to build and customize several chart types, including line charts, bar charts, pie charts, scatterplots, maps and histograms

• Interactive Elements

  • Get comfortable embedding Dash’s interactive elements into your application, and using them to manipulate Plotly visualizations

• MID-COURSE PROJECT

  • Build two working Dash applications to help the Maveluxe team visualize and explore data from ski resorts across the US and Canada

• Dashboard Layouts

  • Learn how to organize your visualizations and interactive components into a visually appealing and logical dashboard structure

• Advanced Functionality

  • Take your applications to the next level by learning how to update your application with real-time data, develop chained-callback functions, and more!

• FINAL PROJECT

  • Build a multi-tab dashboard to expand your mid-course project to ski resorts around the world, leveraging grid layouts, interactive elements and visuals, and advanced callback functions

Join today and get immediate, lifetime access to the following:

• 8.5 hours of high-quality video

• Python Plotly & Dash PDF ebook (180+ pages)

• Downloadable project files & solutions

• Expert support and Q&A forum

• 30-day Udemy satisfaction guarantee

If you’re a data analyst, data scientist or business intelligence professional looking to add Plotly & Dash to your Python skill set, this is the course for you!

Happy learning!

-Chris Bruehl (Python Expert & Lead Python Instructor,Maven Analytics)

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Rating Distribution

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• 2 stars: 2 votes
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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!