Learn how to create interactive plots and intelligent dashboards with Plotly, Python, and the Dash library!
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.
Dash instructional courses from Plotly usually cost more than $1000, but now you can get the bootcamp experience for a fraction of that price in this self-paced course that includes example code, explanatory videos, student support in our chat channels, Question and Answer Forums, and interactive exercises.
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!
Once you have a grasp on Plotly basics we'll move on to the bulk of the course which is utilizing the Dash library to leverage the power of plotly plots to create interactive dashboards. 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. After completing the course you will have a certification you can post to your LinkedIn profile and a portfolio of dashboard projects you can share as well.
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!
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.
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Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill...
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The content is excellent, while the explanations are crystal clear. Excellent
Explanations are clear and examples are strong.
Both course material and the lectures were very good. Good level of detail and useful examples were presented. The course material is somewhat out of date and needs to be updated. Also, one of the last examples relies on an on-line service that now requires a paid subscription. Would definitely recommend this course to others.
Very well done, paced, explained, and shown to do by doing. Well done!
Could dive deeply on more types of graphs. Use cases are scarce as well and in the final project should be renovated since the access to certain webs have changed and the examples cannot be applied
Fantastic Tutor with a strong ability to simplify methods for beginners
Curto muito bom! Além de familiarizar bem com os componentes e estruturas do Plotly e Dash ainda dá uma visão geral sobre o processo de criação de painéis em diferentes frameworks. O tradutor automático funcionou perfeitamente.
good
Good, but its not updated for the Plotly express. Author should cover few aspect of plotly express.
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Amlan R.
excellent so far