
When this happens...
New Review Posted
Automatically do this!
Enable Integrations or automations with these events of Google Business Profile and Coursera: Data Science Specialization
Runs when a new review is posted on your Google Business Profile.
Create a local post with photo
creates a reply for a specified review.
get all review for business account.
Update a Google Business Profile Event post .

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To start, connect both your Google Business Profile and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Business Profile triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Google Business Profile 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 Google Business Profile 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 Google Business Profile 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.
Google Business Profile is a tool that allows businesses to manage their online presence across Google, including Search and Maps. By verifying and editing your business information, you can help customers find you and tell them the story of your business.
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.
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