
When this happens...
Automatically do this!
Enable Integrations or automations with these events of Moxie and Coursera: Data Science Specialization
Creates a new task in Moxie.
Create an expense in your Moxie accounting records
Creates a new client record in Hectic
Create an automated form submission with lead information and custom answers.
Create a new opportunity in your sales pipeline
Create or update a calendar event in the Moxie Homebase calendar
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Moxie and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Moxie triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Moxie 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 Moxie 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 Moxie 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.
Moxie is a platform designed to enhance team collaboration and productivity by providing tools for effective communication and project management. It offers features such as task management, team chat, and file sharing to streamline workflows and improve team efficiency.
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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