Udemy - Analytics dashboard using python and plotly

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1 GB
  • Uploaded Byfreecoursewb
  • Downloads24
  • Last checkedOct. 28th '22
  • Date uploadedOct. 27th '22
  • Seeders 9
  • Leechers5

Infohash : DCB35FE4BFFA25F1FB5CB618C51E6AABCB0AE2FE

Analytics dashboard using python and plotly



https://DevCourseWeb.com

Published 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 20 lectures (3h 29m) | Size: 1 GB

Learn how to create a visual dashboard using dash and plotly

What you'll learn
Create test data using pandas and numpy
Create comprehensive visuals using plotly
Create a dashboard layout using dash
Add additional functionality to the dashboard using dash callbacks
Deploy the dashboard on Heroku

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.

Files:

[ DevCourseWeb.com ] Udemy - Analytics dashboard using python and plotly
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction.mp4 (18.7 MB)
    2. Layout design
    • 1. Layout Design and App Layout.mp4 (43.4 MB)
    • 2. App Layout in Dash.mp4 (197.0 MB)
    3. Creating Test Data and Visuals
    • 1. Creating Test Data.mp4 (94.1 MB)
    • 2. Quick Error Fix.mp4 (2.6 MB)
    • 3. Creating the Visuals using Plotly Part 1.mp4 (112.3 MB)
    • 4. Creating the Visuals using Plotly Part 2.mp4 (89.1 MB)
    4. Adding the Visuals to the App Layout
    • 1. Adding the Visuals to the App Layout.mp4 (76.4 MB)
    5. Basic Callbacks
    • 1. Create Callback Data.mp4 (40.2 MB)
    • 2. Adding a Slider.mp4 (30.4 MB)
    • 3. Multiple Output Callback.mp4 (44.5 MB)
    • 4. Multiple Input Callback.mp4 (17.3 MB)
    • 5. Chained Callback.mp4 (75.4 MB)
    6. Advanced Callbacks
    • 1. Catching Error with PreventUpdate.mp4 (23.1 MB)
    • 2. Displaying Error with dash.no_update.mp4 (24.3 MB)
    • 3. Determining which Input has fired using dash.callback_context.mp4 (43.5 MB)
    • 4. Improving Performance using Memoization.mp4 (14.0 MB)
    7. Creating a Multi Page App
    • 1. Create a Multi Page Dashboard.mp4 (37.2 MB)
    8. Deploying the App on Heroku
    • 1. Deploying the Dashboard.mp4 (55.9 MB)
    9. Conclusion
    • 1. Conclusion.mp4 (2.5 MB)
    • 1.1 Linkt to Github Repository containing all the code and instructions for deployment.html (0.1 KB)
    • Bonus Resources.txt (0.4 KB)

Code:

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