Integrations Mailjet Coursera: Data Science Specialization
Mailjet + Coursera: Data Science Specialization

Connect Mailjet and Coursera: Data Science Specialization to Build Intelligent Automations

Choose a Trigger

Mailjet

When this happens...

Choose an Action

Coursera: Data Science Specialization

Automatically do this!

Enable Integrations or automations with these events of Mailjet and Coursera: Data Science Specialization

Enable Integrations or automations with these events of Mailjet and Coursera: Data Science Specialization

Triggers

New Email Open

New Email Open

runs when email is marked as spam

New Email Unsubscribed

New Email Unsubscribed

runs when new contact is added

New Email Blocked

New Email Blocked

Add a contact to a Mailjet contact list.

Email Sent

Email Sent

Runs when Email Is Sent

Email Link Clicked

Email Link Clicked

Runs when email link clicked

Request a new Trigger for Mailjet

Actions

Send HTML Email

Send HTML Email

Send an email with subject and HTML content, plus optional CC, BCC, and Reply-To.

Send Plain Text Email

Send Plain Text Email

Send a plain-text email to one or more recipients with optional CC, BCC, and reply-to.

Send Email Using Template

Send Email Using Template

Send an email with a template to recipients, including CC, BCC, reply-to and template variables.

Subscribe Contact to List

Subscribe Contact to List

Add or update a contact and subscribe them to a list.

Unsubscribe Contact From List

Unsubscribe Contact From List

Remove a contact from a list so they stop receiving emails.

Update Contact

Update Contact

Update a contact's name or campaign exclusion status

We'll help you get started

Our team is all set to help you!

Customer support expert avatarTechnical support expert avatarAutomation specialist expert avatarIntegration expert avatar

Frequently Asked Questions

How do I start an integration between Mailjet and Coursera: Data Science Specialization?

To start, connect both your Mailjet and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Mailjet triggers actions in Coursera: Data Science Specialization (or vice versa).

Can we customize how data from Mailjet is recorded in Coursera: Data Science Specialization?

Absolutely. You can customize how Mailjet 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.

How often does the data sync between Mailjet and Coursera: Data Science Specialization?

The data sync between Mailjet 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.

Can I filter or transform data before sending it from Mailjet to Coursera: Data Science Specialization?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Mailjet and Coursera: Data Science Specialization?

Yes, you can set conditional logic to control the flow of data between Mailjet 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.

Mailjet

About Mailjet

Mailjet is an all-in-one solution to send, track and deliver transactional, notification and marketing emails. Engage, analyze and react with your client base through email. Get started by using the Mailjet zap to synchronise contacts from your favorite eCommerce, CRM or other SaaS tools to your Mailjet contact lists. For users on API version 3 or higher.

Learn More
Coursera: Data Science Specialization

About 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.

Learn More