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Autor Tópico: Build Interactive Python Dashboards with Descriptionly and Dash  (Lida 229 vezes)

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Offline mitsumi

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MP4 | Video: h264, 1280x720 | Audio: AAC, 48000 Hz
Language: English | Size: 2.08 GB | Duration: 5h 58m

What you'll learn
Create interactive python dashboards using Dash Descriptionly
Create interative graphs that are clickable
Create different Descriptions such as Bar, Bubble, scatter etc using Descriptionly
How to show datacards in your Descriptionly apps

Requirements
No necessary experience needed
Description
This course will teach you everything you need to know to use Python to create interactive dashboards with Descriptionly'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 customizable, interactive dashboards with the open-source libraries of Descriptionly and Dash.

In this course where I will teach you how to create interactive mobile responsive dashboards using Descriptionly's dash library. You will be able to create dashboards that will be mobile/ screen responsive. The way the dashboard looks will depend on the size of the screen on which a user is viewing.

Data visualization is very critical for generating and communicating easy-to-understand findings and insights. Either you are a Data Analyst who wants to create a dashboard/present your analysis or you are a Data Scientist who wants to create a UI for your machine learning models, Descriptionly dash can be a boon for both.

Using the Descriptionly dash, you can create interactive mobile responsive dashboards using python without knowing HTML, CSS, and Javascript. Creating Descriptionly dash dashboards is so simple and easy that you can create your dashboards within a day or two.

In this course, I will take you through each and every concept required to create an interactive mobile-friendly app in Descriptionly dash and then we will combine all of our learnings in the final project section where we will create a covid 19 world tracker.

Who this course is for:
Beginner Python programmers who want to present their analysis in an interactive web based dashboard.
Any Python programmers who want to present their analyses in interactive web-based dashboards
Anyone who wants to create interactive web based data visualizations dashboards.
Programmers switching languages to Python.

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