Python Data Visualization: Dashboards with Plotly & Dash | Udemy

Create custom Python visuals, interactive dashboards and web apps using Plotly & Dash, with unique, real-world projects

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

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 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.

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 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 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

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 scientist, analyst 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)

Who this course is for:
Analysts or Data Scientists who want to build interactive visuals, dashboards or web apps
Aspiring data scientists who want to build or strengthen their Python data visualization skills
Anyone interested in learning one of the most popular open source programming languages in the world
Students looking to learn powerful, practical skills with unique, hands-on projects and course demos




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