Enable Integrations or automations with these events of TidyCal and Coursera: Data Science Specialization
Triggers when a new booking is created in Tidycal.
Triggers when a booking is cancelled in Tidycal.
Triggers when a booking is rescheduled.
Lists the booking types.
Triggers when a contact is added.
Lists the teams.
Get a list of bookings.
Get a list of teams.
Get bookings details by booking ID
Cancel a booking by ID
Create a new booking for a specific booking type.
Get a list of booking types.
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To start, connect both your TidyCal and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in TidyCal triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how TidyCal 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 TidyCal 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 TidyCal 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.
TidyCal is a simple, user-friendly scheduling tool designed to streamline the process of booking appointments and meetings. It allows users to set up their availability and share personalized booking links, making it easy for others to schedule time with them. TidyCal integrates with various calendar platforms, such as Google Calendar and Outlook, to automatically sync events and avoid double bookings. It’s popular for its clean interface, customizable settings, and time-saving features for both individuals and 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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