Connect Filestage and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
New Project
Project is Archived
Project is Deleted
New File Version Is Uploaded
File Version is Deleted
New Folder is Created
Reviewer is Invited to a Reviewer Group
File Is Deleted
New Comment is Created
Comment Reply Is Created
File Due Date Is Changed
File Review Status is Changed
Review Decision is Submitted
New File is Added to a Project
When a Review Is Started in a New Reviewer Group
When a Review Due Date Has Arrived
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of Filestage and Coursera: Data Science Specialization
Enable Integrations or automations with these events of Filestage and Coursera: Data Science Specialization
Triggers
New Project
Triggers When a new project is created
Project is Archived
Triggers when a project is archived.
Project is Deleted
Triggers when a project is removed.
New File Version Is Uploaded
Triggers when a new version of a file is uploaded.
File Version is Deleted
Triggers when a file version is removed.
New Folder is Created
Triggers when a new folder is created.
Actions
Create Folder
Creates a folder.
Create Project
Creates a project in the specific folder.
Archive/Unarchive Project
Archives/Unarchives a chosen project.
Add Reviewers to Reviewers Group
Adds reviewers to a chosen reviewer group.
Create Review Comment
Creates a general comment for a provided version.
Get Reviewer Groups by Project
List all reviewer groups of a specific project.
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Frequently Asked Questions
To start, connect both your Filestage and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Filestage triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Filestage 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 Filestage 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 Filestage 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 Filestage
Filestage is a collaborative platform designed to streamline the review and approval process for creative projects. It allows teams to share, review, and approve files such as videos, images, and documents in a centralized and organized manner, enhancing productivity and ensuring timely feedback.
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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