Connect Harvest and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
New Client Created
New User
New Contact
New Project
New Time entry
List Invoice Sent
List Invoice Paid
New Invoice
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of Harvest and Coursera: Data Science Specialization
Enable Integrations or automations with these events of Harvest and Coursera: Data Science Specialization
Triggers
New Client Created
Trigger when new client is created
New User
Trigger when user is created
New Contact
Trigger when new contact is created
New Project
Trigger when new project is created
New Time entry
Trigger when new time entry is created
List Invoice Sent
List Invoice Sent
Actions
Create a Client
Creates a new client
Update a Client
Update an existing client
Create a Contact
Craete a new contact
Update a Contact
Update an existing contact
Find a Task
Get an existing task detail by its name
Create a Task
Create a new task
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Frequently Asked Questions
To start, connect both your Harvest and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Harvest triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Harvest 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 Harvest 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 Harvest 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 Harvest
Harvest is a time-tracking and invoicing application that simplifies the process of tracking time for various tasks and projects. It helps organizations and freelancers easily bill clients and better manage their time spent on tasks.
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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