delete Analytics Vidhya

How to Delete Analytics Vidhya

Published by Analytics Vidhya Educon Private Limited

We have made it super easy to delete Analytics Vidhya account and/or app.


Guide to Delete Analytics Vidhya

Things to note before removing Analytics Vidhya:

  1. The developer of Analytics Vidhya is Analytics Vidhya Educon Private Limited and all inquiries must go to them.
  2. Check the Terms of Services and/or Privacy policy of Analytics Vidhya Educon Private Limited to know if they support self-serve account deletion:
  3. Under the GDPR, Residents of the European Union and United Kingdom have a "right to erasure" and can request any developer like Analytics Vidhya Educon Private Limited holding their data to delete it. The law mandates that Analytics Vidhya Educon Private Limited must comply within a month.
  4. American residents (California only - you can claim to reside here) are empowered by the CCPA to request that Analytics Vidhya Educon Private Limited delete any data it has on you or risk incurring a fine (upto 7.5k usd).
  5. If you have an active subscription, it is recommended you unsubscribe before deleting your account or the app.


       


How to delete Analytics Vidhya account:

Generally, here are your options if you need your account deleted:

Option 1: Reach out to Analytics Vidhya via Justuseapp. Get all Contact details →

Option 2: Visit the Analytics Vidhya website directly Here →

Option 3:   Contact Analytics Vidhya Support/ Customer Service:

  1. 100% Contact Match

Option 4: Check Analytics Vidhya's Privacy/TOS/Support channels below for their Data-deletion/request policy then contact them:

*Pro-tip: Once you visit any of the links above, Use your browser "Find on page" to find "@". It immediately shows the neccessary emails.



How to Delete Analytics Vidhya from your iPhone or Android.


Delete Analytics Vidhya from iPhone.

To delete Analytics Vidhya from your iPhone, Follow these steps:

  1. On your homescreen, Tap and hold Analytics Vidhya until it starts shaking.
  2. Once it starts to shake, you'll see an X Mark at the top of the app icon.
  3. Click on that X to delete the Analytics Vidhya app from your phone.

Method 2:

Go to Settings and click on General then click on "iPhone Storage". You will then scroll down to see the list of all the apps installed on your iPhone. Tap on the app you want to uninstall and delete the app.

For iOS 11 and above:

Go into your Settings and click on "General" and then click on iPhone Storage. You will see the option "Offload Unused Apps". Right next to it is the "Enable" option. Click on the "Enable" option and this will offload the apps that you don't use.


Delete Analytics Vidhya from Android

  1. First open the Google Play app, then press the hamburger menu icon on the top left corner.
  2. After doing these, go to "My Apps and Games" option, then go to the "Installed" option.
  3. You'll see a list of all your installed apps on your phone.
  4. Now choose Analytics Vidhya, then click on "uninstall".
  5. Also you can specifically search for the app you want to uninstall by searching for that app in the search bar then select and uninstall.

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What is Analytics Vidhya?

Analytics Vidhya is India's largest and the world's 2nd largest data science community. We aim to help you learn concepts of data science, machine learning, deep learning, big data & artificial intelligence (AI) in the most interactive manner from the basics right up to very advanced levels. Analytics Vidhya app provides high quality learning resources for data science professionals, data engineers and students who want to study data science and machine learning algorithms, along with codes. Some of the popular posts on the app • A Comprehensive Learning Path for Deep Learning in 2019 • The Ultimate Learning Path to Become a Data Scientist and Master Machine Learning in 2019 • A Complete Tutorial to Learn Data Science with Python from Scratch • Essentials of Machine Learning Algorithms (with Python and R Codes) • An Introduction to Implementing Neural Networks using TensorFlow • A Complete Guide on Getting Started with Deep Learning in Python • Tips and Tricks to Ace Data S...



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