
When this happens...
Contact Created
Contact Updated
Team Membership Updated
Automatically do this!
Enable Integrations or automations with these events of Callbell and Coursera: Data Science Specialization
Triggers when a new contact is created in Callbell
Triggers when a contact is updated
Triggered when a team member is added or removed from a team.
Creates a new Contact
Updates one or more fields in an existing contact.
Get all contacts in Callbell.
Get all team in Callbell.
Updates the bot status assigned to the conversation. It can be either bot_start or bot_end.
Get all channels in Callbell.
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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 Callbell and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Callbell triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Callbell 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 Callbell 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 Callbell 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.
Callbell is a centralized inbox which allows teams to collaborate and reply to customers using WhatsApp, Instagram, Facebook Messenger and Telegram.
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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