
When this happens...
Key Added
Contributor Added
Contributor Removed
Key Removed
Key Modified
Key Comment Added
Language Added
Language Removed
Project Snapshot
Project Imported
Task Created
Language Setting Changed
Task Closed
Task Deleted
Task Language Closed
Branch Added
Branch Merged
Branch Deleted
Translation Reviewed
Translation Updated
Project Created
Automatically do this!
Enable Integrations or automations with these events of Lokalise and Coursera: Data Science Specialization
Triggers when a new key is added to the project.
Triggers when a new contributor is added to the project.
Triggers when an existing contributor is removed from the project.
Triggers when an existing key is removed from the project.
Triggers when an existing key is modified from the project.
Triggers when a new comment is added to the key.
Delete an existing Project.
Creates a Project.
Creates a Comment.
Update an existing translation.
Creates a Task.
Creates a Branch.
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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 Lokalise and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Lokalise triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Lokalise 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 Lokalise 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 Lokalise 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.
Lokalise is a translation management tool that lets you structure and automate workflows while encouraging collaboration among all involved.
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.
Learn More