
When this happens...
New Customer Created
Payment Link Created
Customer Subscribes
Subscription Ends
New Charge Is Created
New Event Occurs
New Refund Created
Charge Refunded
Coupon Created
Customer Subscribes
Customer Updated
Invoice Is Finalized
Invoice Item Created
Payment Fails
Payment Link Updated
Payment Method Attached
Payment Method Automatically Updated
Payment Method Detached
Payment Method Updated
Payout Canceled
New Payout
Payout Failed
Payout Paid
Payout Updated
New Person
Person Deleted
Person Updated
New Plan
Plan Deleted
Plan Updated
New Price
Price Deleted
Price Updated
New Product
Product Deleted
Product Updated
New Promotion Code
Promotion Code Updated
Quote Accepted
Quote Canceled
Quote Canceled
Automatically do this!
Enable Integrations or automations with these events of Stripe and Coursera: Data Science Specialization
Runs when customer is created
Runs when payment link created
Runs when customer subscribes
Runs when subscription ends
Runs when charge is created
Runs when new event occurs
Retrieves subscriptions from your Stripe account with flexible filtering options.
Search and retrieve Stripe invoices using smart filters like customer email, subscription, status, and date.
Locate payment intents
Find customer by ID/email/date
Create a new Stripe invoice
Permanently remove a customer.
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To start, connect both your Stripe and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Stripe triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Stripe 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 Stripe 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 Stripe 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.
Stripe is a financial technology company that provides a set of tools and APIs (Application Programming Interfaces) for online businesses to handle payments, subscriptions, and other financial transactions on the internet.
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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