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Udemy – Interactive Python Dashboards With Plotly And Dash

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Udemy – Interactive Python Dashboards With Plotly And Dash

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Description

Udemy – Interactive Python Dashboards With Plotly And Dash

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What you’ll learn

  • Learn about Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more!
  • Create Layouts with Plotly’s Dash library.

  • Use Dash to create interactive components with Plotly.

  • Learn how to connect multiple inputs and outputs with a dashboard.
  • Update live interactive graphs with clicks, hover overs, and more.
  • Connect the interactive dashboard to live updating data for streaming information.
  • Learn how to secure your interactive dashboards with App Authorization.
  • Deploy your interactive dashboards to the internet with services like Heroku.

Requirements

  • Knowledge of Basic Python
  • Computer with Internet Access

Description

Welcome to Python Visualization Dashboards with Plotly’s Dash Library!

This course will teach your everything you need to know to use Python to create interactive dashboard’s with Plotly’s new Dash library! Have you ever wanted to take your Python skills to the next level in data visualization?

With this course you will be able to create fully customization, interactive dashboards with the open source libraries of Plotly and Dash.

We’ll start off by teaching you enough Numpy and Pandas that you feel comfortable working and generating data in our quick crash course.

Then we’ll continue by teaching you about basic data visualization with Plotly, including scatter plots, line charts, bar charts, bubble charts, box plots, histograms, distribution plots, heat maps, and more! We’ll also give you an intuition of when to use each plot type.

After this and at the end of each section you’ll be given exercise tasks to test and evaluate your new skills, a feature no other Plotly Dash training offers!

We’ll discuss how to create layouts for dashboards, how to have interactive callbacks, dealing with multiple inputs and outputs, creating interactive components, and more!

We’ll finish off the course by going over live updating dashboards that automatically update in real time and even show you how you can deploy your dashboards live to the web with the Heroku service.

By taking this course you will be learning the bleeding edge of data visualization technology with Python and gain a valuable new skill to show your colleagues or potential employers.

All of this comes with a 30 day money back guarantee, so what are you waiting for? Enroll today and we’ll see you inside the course!

Who this course is for:

  • Python developers who are interested in learning how to create interactive dashboards and visualizations

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