Data visualization is a critical part of data science, in this quick and practical course you will learn how to create a great-looking interactive dashboard with Dash and Python. With this new skill, you will be able to present and share your analysis better with your customers’ executives and the rest of your team.
This course is broken down into 5 parts and it is necessary to follow the structure as each part is built on top of the other. The first part is an introduction to Plotly Dash followed by building the layout of dashboards. The third part is how to make dashboards interactive with callbacks, fourth part introduces us to customize the look of dashboards. The last and final part is a business-centric project case study on creating an interactive map dashboard.
Throughout the course, you will be using 3 real-world datasets, which are the World Happiness dataset, FIFA Soccer dataset, and US electricity prices to help you learn Dash more.
By the end of the course, you will learn to build dashboards from scratch, by customizing their look and adding interactive features, with all free Python libraries.
All resources and code files are placed here: https://github.com/PacktPublishing/Python-Interactive-Dashboards-with-P…
Learn to create a grid layout in dashboards
Create interactive graphs that are clickable
Create data tables in dashboards
Create a dashboard with a navigation bar and cards
Learn to add buttons to dashboards
Learn the basics of Python with this course