
When this happens...
New Event
Event Canceled
Rescheduled Event
Automatically do this!
Enable Integrations or automations with these events of Savvycal and Coursera: Data Science Specialization
Trigger when new event is created
Trigger when an event is canceled
Trigger when an event is rescheduled.
Get existing account user details
Get a list of your events scheduled via SavvyCal.
Get a list of scheduling links.
Get a list of all canonical zones in the time zone database.
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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 Savvycal and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Savvycal triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Savvycal 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 Savvycal 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 Savvycal 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.
Savvycal is a scheduling tool designed to make it easy for users to find mutually agreeable times for meetings. It offers a user-friendly interface and integrates with various calendar systems to streamline the scheduling process.
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.
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