
When this happens...
Card Created
Board Created
Board Updated
Board Deleted
Board To Pdf Created
Board Viewed
Card Added To Board
Card Comment Created
Card Comment Deleted
Card Comment Resolved
Card Comment Updated
Card Copied
Card Deleted
Card Favorited
Card Link Copied
Card Restored
Card Unfavorited
Card To Pdf
Card Updated
Card Verified
Card Viewed
Collection Created
Collection Deleted
Collection Exported
Card Draft Created
User Group Created
User Group Deleted
User Group Member Added
Team Member Added
Team Member Removed
Tag Created
Tag Deleted
Tag Updated
Tag Merged
Tag Category Created
Tag Category Deleted
Tag Category Updated
Question Created
Question Answered
Question Deleted
Draft Created
Automatically do this!
Enable Integrations or automations with these events of Guru and Coursera: Data Science Specialization
Trigger when a user creates a card.
Trigger when a new Board Created.
Trigger when a new Board Updated.
Trigger when a new Board Deleted.
Trigger when a Board To Pdf Created.
Trigger when an existing Board Viewed.
Creates a new Card.
Updates the created card.
Deletes an existing card.
Submits a question to Guru and returns the answer.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Guru and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Guru triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Guru 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 Guru 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 Guru 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.
Guru is an AI-powered knowledge platform that unifies enterprise search, an internal wiki, and an intranet to deliver fast, trusted answers inside everyday workflows. It connects to tools like Google Drive, Slack, Microsoft Teams, and more to retrieve content, applies permissions-aware AI to surface context-rich responses, and helps teams keep information current through expert verification and automated reminders. The platform includes role-aware AI agents, customizable pages, and granular access controls so organizations can centralize knowledge, reduce time spent searching, and share accurate, on-brand information across departments.
Learn MoreMaster 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.
Learn More