Udemy - Interactive Python Dashboards With Plotly And Dash [TP]
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!
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FILE LIST
Filename
Size
1. Course Introduction/1. Course Overview.mp4
59.2 MB
1. Course Introduction/1. Course Overview.vtt
13.1 KB
1. Course Introduction/1.1 Full Guidebook for Course.html
157 B
1. Course Introduction/1.2 Github for Notes.html
120 B
1. Course Introduction/2. Course FAQ.html
2.1 KB
1. Course Introduction/3. Overview of Notes and Guidebook.mp4
50.9 MB
1. Course Introduction/3. Overview of Notes and Guidebook.vtt
6.5 KB
1. Course Introduction/3.1 Extra Guidebook on Public Datasets Information.html
157 B
1. Course Introduction/3.2 Full Guidebook for Course.html