
When this happens...
Recent Transactions
Abandoned Transaction
Fetch Subscriptions
Cancelled Subscription
New Refund
New Order
Fetch Recent Invoices
Automatically do this!
Enable Integrations or automations with these events of Paystack and Coursera: Data Science Specialization
Retrieve Paystack transactions from the last 15 minutes, optionally filtered by status.
Fetches Paystack transactions marked as abandoned created in the last 15 minutes.
Retrieve Paystack subscriptions created within a recent time window and filter by status (new or cancelled).
Return subscriptions cancelled on Paystack within the last 15 minutes.
Retrieve refunds processed in the last 15 minutes from Paystack.
Retrieve Paystack orders created in the last 15 minutes.
Disable (cancel) a Paystack subscription using its subscription code and email token.
Update the status of an existing Paystack order (e.g., delivered or cancelled) using its Order ID.
Create a new Paystack product with name, description, price, currency, and stock (quantity or unlimited) settings.
Locate a Paystack customer using their email and return the customer's details or a not-found message.
Retrieve Paystack transfer details using a transfer code.
Fetch Paystack transaction details using the transaction ID.
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To start, connect both your Paystack and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Paystack triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Paystack 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 Paystack 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 Paystack 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.
Integrate seamless payment processing features with Paystack, enabling businesses to handle transactions efficiently and securely.
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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