Data Visualization in Python with Dash

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Robin Andrews

58:23

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01.01-create interactive data visualizations with python.mp4

00:45

01.02-what you should know.mp4

00:18

02.01-why dash.mp4

02:05

03.01-setting up your local development environment.mp4

04:59

03.02-hello world with dash.mp4

02:12

03.03-a basic example of a dash application.mp4

06:48

04.01-plotly express graph configuration.mp4

05:00

04.02-using style arguments for css.mp4

03:59

04.03-adding external assets to your applications.mp4

02:19

05.01-how dash event callbacks work.mp4

03:14

05.02-adding a drop-down menu.mp4

03:28

05.03-using callbacks to power drop-down menus.mp4

05:31

05.04-using date range selectors.mp4

07:28

06.01-deploying your app to heroku.mp4

06:47

06.02-making changes to an existing app.mp4

02:23

07.01-dash enterprise design kit dashboards.mp4

01:07

Description

Data is everywhere. It’s fundamental to your business process. It allows you to make sound, well-informed decisions driven by evidence, not just conjecture. But how should you represent it? The answer depends, especially when you’re working with stakeholders who don’t have a technical background. That’s where Dash comes in. It’s a powerful and easy-to-use data visualization tool that can help you make optimal strategic decisions.

In this course, instructor Robin Andrews gives you an overview of everything you need to know to get started using Dash with Python. Discover how to build powerful and attractive data visualizations. Learn about creating plots, styling applications, and adding user interactivity to cultivate more responsive, data-driven relationships. Robin explores strategies to help you get the most out of the Dash experience, and shows you how to deploy your Dash apps to the cloud using Heroku.

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Python

Robin Andrews

Instructor's Courses

Python programming and Computer Science instructor at Compucademy.

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