Connect Imgur and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
New Comment
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of Imgur and Coursera: Data Science Specialization
Enable Integrations or automations with these events of Imgur and Coursera: Data Science Specialization
Triggers
New Comment
When you Comment on Post
Actions
Upload Image
Uploads a new image to your Imgur account.
Image Delete
Delete a Image.
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Frequently Asked Questions
To start, connect both your Imgur and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Imgur triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Imgur data is recorded in Coursera: Data Science Specialization. This includes choosing which data fields go into which fields of Coursera: Data Science Specialization, setting up custom formats, and filtering out unwanted information.
The data sync between Imgur and Coursera: Data Science Specialization typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Imgur and Coursera: Data Science Specialization. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Imgur
Imgur is a popular online image sharing and hosting service that allows users to upload, share, and comment on images and GIFs. It is widely used for sharing viral images, memes, and other visual content.
Learn MoreAbout Coursera: Data Science Specialization
Master the art of data science with Coursera’s Data Science Specialization, created by Johns Hopkins University. This program guides you through the full data science pipeline—from data wrangling and statistical analysis to machine learning and data visualization—using R and real-world projects.
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