
When this happens...
Automatically do this!
Enable Integrations or automations with these events of Sigma Computing and Coursera: Data Science Specialization
Retrieve all Sigma account types with their IDs, names, and descriptions.
Creates a new team in Sigma Computing. Optionally add a description, invite members, create a team folder, and set visibility (public or private).
Create a new workbook and save it in the selected folder with an optional owner and description.
Retrieve all datasets available in your Sigma Computing account.
Retrieve all configured data connections (id, name, and type).
Create a new workspace, folder, or workbook in your Sigma account.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
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).
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.
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.
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 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 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 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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