Enable Integrations or automations with these events of Skyvern and Coursera: Data Science Specialization
Fetch Skyvern workflows created or updated within the specified recent time window and return them newest first.
Launch a Skyvern workflow run using a workflow ID and optional title, proxy location, webhook, and browser address. Returns the run ID, status, and a link to view the run.
Create and run a complicated goal.
Creates and starts a Skyvern task for a given URL and prompt, returning the task run ID, initial status, and app URL.
Fetch the full details of a specific task by its Task ID.
Start a new Skyvern browser session. Optionally set a session timeout and choose a proxy location.
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To start, connect both your Skyvern and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Skyvern triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Skyvern 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 Skyvern 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 Skyvern 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.
Skyvern is a cutting-edge platform designed to revolutionize the way businesses manage their operations and enhance productivity. With a focus on seamless integration and user-friendly interfaces, Skyvern offers a suite of tools that cater to various business needs, from project management to team collaboration. Its robust features are tailored to streamline workflows, improve communication, and drive efficiency across teams.
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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