Python Interactive Dashboards with Plotly Dash

学习完本课程后，您将学习通过使用所有免费的Python库自定义仪表板外观并添加交互功能来从头开始构建仪表板。

在整个课程中，您将使用三个真实的数据集来创建仪表板。它们将使您的学习体验更加实用。学完本课程后，您可以轻松地应用技能来构建自己的仪表板。

数据可视化对于数据科学至关重要。不要错过学习使用Python创建仪表盘这一新技能的机会！本课程包括指导性视频，逐步引导您完成整个过程。您可以按照自己的进度学习，并下载Python脚本以用于自己的项目。

除了Dash之外，您还将有机会使用其他关键数据科学库，包括pandas和plotly。如果您以前没有使用过，也可以。我们将细分并解释该课程中的过程。这样您就可以继续学习！

MP4 | Video: h264, 1280×720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.17 GB | Duration: 4h 1m

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
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 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