When this happens...
Automatically do this!
Enable Integrations or automations with these events of Google Slides and Coursera: Data Science Specialization
Copy a Google Slides template to create a new presentation, replace any {{tag}} placeholders with provided values, and optionally save it to a specified Drive folder.
Locate a Google Slides presentation by exact name and return its file details (ID, view link, export links, owner and permission info, thumbnail, size, and timestamps).
Retrieve a slide's thumbnail image (content URL, width and height) in the selected size.
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To start, connect both your Google Slides and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Slides triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Google Slides 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 Slides 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 Slides 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 Slides is a powerful online presentation tool that allows users to create, edit, and collaborate on presentations in real-time. It offers a variety of templates, themes, and customization options to enhance your presentations, making it ideal for both personal and professional use.
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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