Python Data Visualization: Dashboards with Plotly & Dash
Python Data Visualization: Dashboards with Plotly & Dash
Create custom Python visuals, interactive dashboards and web apps using Plotly & Dash, with unique, real-world projects
Created by Maven Analytics, Chris Bruehl | 8.5 hours on-demand video course
This is a Python Data Visualization: Dashboards with Plotly & Dash 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 visuals 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. Python Data Visualization: Dashboards with Plotly & Dash by Maven Analytics and Chris Bruehl
What you’ll learn
- Master the essentials of Plotly & Dash for building interactive visuals, dashboards and web apps
- Design and format Plotly visuals, including line charts, bar charts, scatter plots, histograms, maps and more
- Learn how to add interactive elements like dropdown menus, checklists, sliders and date pickers
- Apply HTML and markdown components to design custom dashboard layouts and themes
- Practice building and deploying your own custom web applications with Dash
- Explore advanced topics like conditional and chained callbacks, cross-filtering and real-time automation
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