Connect Flow and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
New Task
Task Completed
New Project
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of Flow and Coursera: Data Science Specialization
Enable Integrations or automations with these events of Flow and Coursera: Data Science Specialization
Triggers
New Task
Triggers when a new task is created in GetFlow.
Task Completed
Triggers when a task is marked as completed in GetFlow.
New Project
Triggers when a new project is added.
Actions
Create Task
Creates a new task in GetFlow Account.
list task
get a task in flow.
Get List
get a List in flow.
List workspaces
get a workspaces in flow.
List memberships
get a memberships in flow.
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Frequently Asked Questions
To start, connect both your Flow and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Flow triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Flow 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 Flow 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 Flow 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 Flow
GetFlow is a task and project management tool designed to help teams collaborate efficiently and manage their workflows effectively. It offers features such as task assignments, due dates, project timelines, and team communication to streamline project management processes.
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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