Connect Callingly and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Callingly
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of Callingly and Coursera: Data Science Specialization
Enable Integrations or automations with these events of Callingly and Coursera: Data Science Specialization
Actions
Create Client
Create a new client in Callingly using the supplied contact details and return the created client's information.
Call Lead
Creates or updates a Lead, calls your Team and puts the first to accept through to the Lead's phone number.
Create Team
Create a team.
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- text is aiReplytoCommentSend a Private ReplyAdd Step
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Automate Expense Report Approvals via Slack & QuickBooks
- Send for Approval acceptCreate Entry of expensesAdd Step
- Send for rejectMail for RejectionAdd Step
Automate Instagram DM Replies, Reactions, and Team Alerts
- has responseSendDMMessageAdd Step
- Notify teamSendMailAdd Step
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Frequently Asked Questions
To start, connect both your Callingly and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Callingly triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Callingly 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 Callingly 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 Callingly 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 Callingly
Callingly is a powerful tool designed to help businesses connect with leads instantly by automating the process of making phone calls. It ensures that sales teams can respond to inquiries quickly, improving conversion rates and customer satisfaction.
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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