Python Interactive Dashboards with Plotly Dash

If you are someone with a background in Python programming and is interested in presenting your analysis in interactive web-based dashboards, then you are in the right place. This course primarily focuses on Dash, along with other key data science libraries, including Pandas and Plotly. Learn to use Dash and Plotly in Python which can help you to visualize your critical insights and KPIs in web apps that are easily sharable.

44 on-demand videos & exercises

Level: Beginner

English

5hrs 29mins

Access on mobile, web and TV

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-Plotly-Dash

Course Curriculum

About the Author

Just Into Data is the brainchild of Justin and Lianne. Justin is 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 is 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.