Connect SMS Manager by BulkSMS and Coursera: Data Science Specialization to Build Intelligent Automations
Enable Integrations or automations with these events of SMS Manager by BulkSMS and Coursera: Data Science Specialization
Enable Integrations or automations with these events of SMS Manager by BulkSMS and Coursera: Data Science Specialization
Triggers
Delivery Receipt Received
Runs when a sent message is delivered or fails.
Actions
Send SMS
Send an SMS message to one or more phone numbers.
Create Contact
Adds a new contact to SMS Manager.
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Frequently Asked Questions
To start, connect both your SMS Manager by BulkSMS and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in SMS Manager by BulkSMS triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how SMS Manager by BulkSMS 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 SMS Manager by BulkSMS 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 SMS Manager by BulkSMS 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 SMS Manager by BulkSMS
SMS Manager by BulkSMS.com.au is a bulk SMS and MMS messaging platform. Send and receive text messages via API.
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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