Integrations Ringg AI Coursera: Data Science Specialization
Ringg AI + Coursera: Data Science Specialization

Connect Ringg AI and Coursera: Data Science Specialization to Build Intelligent Automations

Choose a Trigger

Ringg AI

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Choose an Action

Coursera: Data Science Specialization

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Enable Integrations or automations with these events of Ringg AI and Coursera: Data Science Specialization

Enable Integrations or automations with these events of Ringg AI and Coursera: Data Science Specialization

Actions

List Agents

List Agents

Show all agents in your account.

Get call details

Get call details

Get details for a specific call, including optional AI analysis

Get Workspace  Numbers

Get Workspace Numbers

Retrieve the phone numbers available in this workspace.

Place an outbound call

Place an outbound call

Place an outbound call to a contact or phone number

Request a new Action for Ringg AI

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Frequently Asked Questions

How do I start an integration between Ringg AI and Coursera: Data Science Specialization?

To start, connect both your Ringg AI and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Ringg AI triggers actions in Coursera: Data Science Specialization (or vice versa).

Can we customize how data from Ringg AI is recorded in Coursera: Data Science Specialization?

Absolutely. You can customize how Ringg AI 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.

How often does the data sync between Ringg AI and Coursera: Data Science Specialization?

The data sync between Ringg AI 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.

Can I filter or transform data before sending it from Ringg AI to Coursera: Data Science Specialization?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Ringg AI and Coursera: Data Science Specialization?

Yes, you can set conditional logic to control the flow of data between Ringg AI 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.

Ringg AI

About Ringg AI

Ringg AI offers advanced AI-driven solutions to enhance communication and customer interaction. With cutting-edge technology, it streamlines processes and improves efficiency for businesses.

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Coursera: Data Science Specialization

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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