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Certification Course

Interactive Dashboards and Data Apps with Plotly and Dash

Plotly's Dash framework allows Python programmers to develop complete analytic data apps and interactive dashboards. You'll start with an overview of the Dash ecosystem, its main packages, and the available third-party packages crucial for structuring and building different parts of your apps. Next, you will learn how to create a basic Dash app and add different features to it. You'll then integrate controls in the app—such as drop-downs, checkboxes, sliders, date pickers, and more—and then link them to charts and other outputs. Depending on the data you are visualizing, you will also add several types of charts including scatter plots, line plots, bar charts, histograms, maps, as well as explore the options available for customizing them. By the end of this course, you’ll have the skills you need to create and deploy an interactive dashboard, be able to handle complexity and code refactoring, and know how to improve your application.

In this course, you will learn:

An overview of the Dash ecosystem and how to use callback functions to provide interactive capabilities to the app
Plotly's Figure object is used to create bar charts, scatterplots, map plots, and histograms.
Experiment with adding interaction with sliders, drop-down menus, and interactive tables.
Hands-on experience with KMean clustering to test and assess a machine learning model
The ability to include several pages in an app and use URLs as inputs and outputs to interact with various app parts.
Practical experience deploying an app to a server

Syllabus :