Integrations Sigma Computing Coursera: Data Science Specialization
Sigma Computing + Coursera: Data Science Specialization

Connect Sigma Computing and Coursera: Data Science Specialization to Build Intelligent Automations

Choose a Trigger

Sigma Computing

When this happens...

Choose an Action

Coursera: Data Science Specialization

Automatically do this!

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

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

Actions

List Account Types

List Account Types

Retrieve all Sigma account types with their IDs, names, and descriptions.

Create Team

Create Team

Creates a new team in Sigma Computing. Optionally add a description, invite members, create a team folder, and set visibility (public or private).

Create workbook

Create workbook

Create a new workbook and save it in the selected folder with an optional owner and description.

List Datasets

List Datasets

Retrieve all datasets available in your Sigma Computing account.

List connections

List connections

Retrieve all configured data connections (id, name, and type).

Create a File

Create a File

Create a new workspace, folder, or workbook in your Sigma account.

Request a new Action for Sigma Computing

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 Sigma Computing and Coursera: Data Science Specialization?

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

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

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

The data sync between Sigma Computing 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 Sigma Computing 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 Sigma Computing and Coursera: Data Science Specialization?

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

Sigma Computing

About Sigma Computing

Sigma Computing offers a powerful cloud-based analytics platform designed to empower teams with data-driven insights. It enables users to explore, analyze, and visualize data without the need for complex coding, making it accessible for everyone in the organization.

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