Connect FastSpring and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for FastSpring
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of FastSpring and Coursera: Data Science Specialization
Enable Integrations or automations with these events of FastSpring and Coursera: Data Science Specialization
Actions
Create an Account
Creates a new account object.
Search Account By Email
Searches for an account by email.
Get Product By path
Retrieves the details of an existing product with the given product_path.
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Automate Instagram Comment Replies with Smart DMs
- text is aiReplytoCommentSend a Private ReplyAdd Step
- Is guide commentReplytoComment GuideSend a Private Reply GuideAdd Step
- 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 FastSpring and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in FastSpring triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how FastSpring 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 FastSpring 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 FastSpring 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 FastSpring
FastSpring is a comprehensive eCommerce platform designed to help businesses sell software, digital products, and services online. It offers a range of features including global payment processing, subscription management, and localized purchasing experiences to enhance customer satisfaction and streamline sales operations.
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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