Connect Certifier and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
New Group
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of Certifier and Coursera: Data Science Specialization
Enable Integrations or automations with these events of Certifier and Coursera: Data Science Specialization
Triggers
New Group
Triggers when new group is created.
Actions
Delete Credential
Delete an existing Credential.
Delete Group
Delete an existing group.
Update a credential
Update a credential
Update a group
Update a group
Create Group
Creates a group.
Issue Credential
Creates, issues, and sends a credential to a recipient.
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Frequently Asked Questions
To start, connect both your Certifier and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Certifier triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Certifier 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 Certifier 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 Certifier 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 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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