Connect Parma and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
New Relationship
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of Parma and Coursera: Data Science Specialization
Enable Integrations or automations with these events of Parma and Coursera: Data Science Specialization
Triggers
New Relationship
Triggers when a new relationship is created
Actions
List Groups
Lists all existing groups
List Relationships
Lists all existing Relationships
Create Note
Create note in a relationship
Create Relationship
Creates a relationship
Get Relationship
Get details of a Relationship
List deals
List all deals in the Parma account
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- text is aiReplytoCommentSend a Private ReplyAdd Step
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- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
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
- has reactSendDMMessage ReactAdd Step
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Frequently Asked Questions
To start, connect both your Parma and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Parma triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Parma 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 Parma 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 Parma 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 Parma
Parma is a minimalistic CRM that helps you remember who your customers are, what they like, and when you last connected.
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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