Connect Basalt and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Basalt
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of Basalt and Coursera: Data Science Specialization
Enable Integrations or automations with these events of Basalt and Coursera: Data Science Specialization
Actions
Create Trace
Create a new trace to track the execution of a feature.
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- text is aiReplytoCommentSend a Private ReplyAdd Step
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- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
Automate Expense Report Approvals via Slack & QuickBooks
- Send for Approval acceptCreate Entry of expensesAdd Step
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Automate Instagram DM Replies, Reactions, and Team Alerts
- has responseSendDMMessageAdd Step
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Frequently Asked Questions
To start, connect both your Basalt and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Basalt triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Basalt 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 Basalt 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 Basalt 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.
About Basalt
Basalt is an advanced AI-driven platform designed to enhance productivity and streamline workflows. It leverages artificial intelligence to automate tasks, analyze data, and provide actionable insights, making it an essential tool for businesses looking to optimize their operations.
Learn MoreAbout 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.
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