Analytics dashboard using python and plotly
Learn how to create a visual dashboard using dash and plotly.
What you’ll learn
Analytics dashboard using python and plotly
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Create test data using pandas and NumPy
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Create comprehensive visuals using Plotly
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Create a dashboard layout using a dash
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Add additional functionality to the dashboard using dash callbacks
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Deploy the dashboard on Heroku
Requirements
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Basic python
Description
In this course, you will learn to create various visuals and construct an aesthetic dashboard to showcase the visuals. Towards the end of the course, you will learn how to add additional functionality to the dashboard and finally deploy the dashboard for production capabilities.
You will learn to create various types of charts using the library plotly, and how to style and update them. The added functionality will be created using advanced and basic callbacks. For instance, if you want to display data for multiple years, this course will show you how to add a slider that will update the data based on the value of the input. As a final note, this course will use a sales analytics dashboard as an example to walk through the various components.
The level of python needed for this course is beginner/intermediate. If you don’t have any experience with python you are welcome to follow along, however, I recommend that you should take a beginner’s python course before taking this course.
Who this course is for:
- This course is targeted toward people who are interested in visualization and want to create a visually appealing dashboard that showcases data.
Python Scientific Visualizations with plotly Course
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