Integrate Heroku and Coursera: Data Science Specialization with viaSocket
Heroku already connects with hundreds of apps. Coursera: Data Science Specialization's automation is still on its way. Want to speed that up?
Supported Triggers & Actions
Everything you can automate between Heroku and Coursera: Data Science Specialization.
When this happensTrigger
No trigger available
Do thisActions
Action is the task that follows automatically within your Heroku integrations.
Get Account Info
Get account information.
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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AI will build it for you
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.
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About Heroku
Heroku is a cloud platform that enables companies to build, run, and operate applications entirely in the cloud. It provides a range of services for deploying, managing, and scaling apps, making it easier for developers to focus on writing code without worrying about infrastructure.
Learn moreSimilar apps
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.
Learn more
Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your Heroku and Coursera: Data Science Specialization accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Heroku and Coursera: Data Science Specialization as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Coursera: Data Science Specialization. No coding required.
Yes. You can set up a workflow where Heroku triggers actions in Coursera: Data Science Specialization, and a separate workflow where Coursera: Data Science Specialization triggers actions in Heroku. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Heroku and Coursera: Data Science Specialization. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Heroku and Coursera: Data Science Specialization integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
