Integrations Scale Coursera: Data Science Specialization
Scale + Coursera: Data Science Specialization

Connect Scale and Coursera: Data Science Specialization to Build Intelligent Automations

Choose a Trigger

Scale

When this happens...

Choose an Action

Coursera: Data Science Specialization

Automatically do this!

Enable Integrations or automations with these events of Scale and Coursera: Data Science Specialization

Enable Integrations or automations with these events of Scale and Coursera: Data Science Specialization

Actions

Get Tasks

Get Tasks

Retrieve all the tasks for given project.

Create Batch

Create Batch

Create a new batch in a project to group related tasks for processing.

Pause Batch

Pause Batch

Pause processing of an in-progress Batch. Only unstarted tasks will be paused.

Resume Batch

Resume Batch

Resume processing of a paused Batch. Previously paused tasks will be resumed.

Finalize a batch

Finalize a batch

Mark a Scale batch as complete so no new tasks can be added.

Cancel Batch

Cancel Batch

Cancel processing of a Batch. Unstarted tasks will be cancelled. Completed batches cannot be cancelled.

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Frequently Asked Questions

How do I start an integration between Scale and Coursera: Data Science Specialization?

To start, connect both your Scale and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Scale triggers actions in Coursera: Data Science Specialization (or vice versa).

Can we customize how data from Scale is recorded in Coursera: Data Science Specialization?

Absolutely. You can customize how Scale 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.

How often does the data sync between Scale and Coursera: Data Science Specialization?

The data sync between Scale 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.

Can I filter or transform data before sending it from Scale to Coursera: Data Science Specialization?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Scale and Coursera: Data Science Specialization?

Yes, you can set conditional logic to control the flow of data between Scale 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.

Scale

About Scale

Scale provides advanced AI-driven solutions for data labeling and annotation, helping businesses streamline their machine learning workflows.

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Coursera: Data Science Specialization

About 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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