Python Interactive Dashboards with Plotly Dash (new version)

Name: Python Interactive Dashboards with Plotly Dash (new version)
Rating: 4.7 (208 reviews)

Learn to create interactive Python dashboards (data visualizations) using plotly Dash, with real-world example datasets

(208 ratings)

930 students

Created by Lianne and Justin (Just into Data)

Last updated 6/2022

English

English [Auto]

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 a live updating dashboard
Add buttons to dashboards
Create interactive graphs that are clickable
Create data tables in dashboards
Create a grid layout in dashboards
Create a dashboard with a navigation bar and cards
Use Plotly to create plots including line charts, choropleth maps, candlestick charts
Basics of Python with a crash course

Requirements

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

Description

Welcome to your plotly Dash course!

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 download 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 break down 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

Lianne and Justin (Just into Data)

Data Scientists

4.7 Instructor Rating
350 Reviews
1,654 Students
2 Courses

Justin: an experienced data scientist in many different fields, such as marketing, anti-money laundering, and big data technologies. He also has a bachelor’s degree in computer engineering and a master’s degree in statistics.

Lianne: an experienced statistician who has worked in the central bank as well as commercial banks, where she monitored major financial institutions and conducted fraud analysis. She has both a bachelor’s and a master’s degree in statistics.