Integrations Spacebring Coursera: Data Science Specialization
Spacebring + Coursera: Data Science Specialization

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

Choose a Trigger

Spacebring

When this happens...

Choose an Action

Coursera: Data Science Specialization

Automatically do this!

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

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

Triggers

New Company

New Company

Trigger when company

New Membership

New Membership

Trigger when membership created.

New Invoice

New Invoice

Trigger when new invoice created.

New Subscriptions

New Subscriptions

Trigger when subscriptions created.

New Support Tickets

New Support Tickets

Trigger when new support tickets created.

New Visit

New Visit

Trigger when visit created.

Actions

Create Booking

Create Booking

Create a booking.

Find Company

Find Company

Finds a company in your location by title or ID.

Create Company

Create Company

Create a company

Create Subscription Company

Create Subscription Company

Create a subscription for a company.

Create Visit

Create Visit

Creates a new visit in location.

Create Feed Post

Create Feed Post

Creates a new post in Feed.

Explore more automations built by businesses and experts

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 Spacebring and Coursera: Data Science Specialization?

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

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

Absolutely. You can customize how Spacebring 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 Spacebring and Coursera: Data Science Specialization?

The data sync between Spacebring 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 Spacebring 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 Spacebring and Coursera: Data Science Specialization?

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

Spacebring

About Spacebring

Spacebring is the fastest coworking space management software designed to streamline operations, save time, and increase customer loyalty. By automating booking, invoicing, and other admin tasks, Spacebring saves coworking operators 15–20 hours per week, and allows them to focus on what matters most—growing their business. The branded web portal and mobile app provide a nimble, seamless, and professional experience that keeps members engaged and satisfied.

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