
When this happens...
Job Created
Job Updated
Job Deleted
User Created
User Updated
User Deleted
Group Created
Group Updated
Group Deleted
Schedule Created
Schedule Updated
Schedule Deleted
Task Created
Task Updated
Task Deleted
Timesheet Created
Timesheet Updated
Timesheet Deleted
Automatically do this!
Enable Integrations or automations with these events of Timeero and Coursera: Data Science Specialization
Triggers when new job is created.
Triggers when an existing job is updated.
Triggers when an existing job is deleted.
Triggers when an user is created.
Triggers when an existing user is updated.
Triggers when an existing user is deleted.
Creates a Task.
Creates a Job.
Delete an existing job .
Creates a Timesheet.
Get time based on the date.
Clock in by user.
Explore more automations built by businesses and experts

Gain insights into how viaSocket functions through our detailed guide. Understand its key features and benefits to maximize your experience and efficiency.

Unlock your team's potential with 5 straightforward automation hacks designed to streamline processes and free up valuable time for more important work.

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 Timeero and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Timeero triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Timeero 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 Timeero 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 Timeero 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.
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