Python Interactive Dashboards with Plotly Dash

Python Interactive Dashboards with Plotly Dash

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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 interactive graphs that are clickable

Create data tables in dashboards

Create a grid layout in dashboards

Use Plotly to create plots including line charts, choropleth maps

Basics of Python with a crash course

Requirements

Basic Python ONLY (or you can take the Python Crash Course included in the course)

Description

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 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 breakdown and explain the process within the course. So that you can still follow along!

Cheers,

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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