
When this happens...
New Posts by Author
New Post with Search Options
New Timeline Posts
New Follower on Account
Automatically do this!
Enable Integrations or automations with these events of Bluesky and Coursera: Data Science Specialization
Fetches new posts by a specified Bluesky author created since the last check.
Finds and returns newly created Bluesky posts that match the selected search method (author, keyword, mentions, URL, domain, language, or tags).
Retrieve new posts from a Bluesky timeline since the last check; optionally include or exclude reposts.
Triggers when the specified Bluesky account gains a new follower and returns the follower's profile details.
Creates a new post on the user's Bluesky timeline.
Search for posts on Bluesky.
Reposts (boosts) a post on Bluesky.
Add a like to a Bluesky post.
Retrieves the most recent post from a specified author (DID or handle).
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To start, connect both your Bluesky and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Bluesky triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Bluesky 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 Bluesky 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 Bluesky 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.
Bluesky is a decentralized social media platform that aims to provide users with a more open and user-controlled social networking experience. It focuses on giving users the ability to own their data and have more control over their online interactions.
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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