Integrations Ploomes Coursera: Data Science Specialization
Ploomes + Coursera: Data Science Specialization

Connect Ploomes and Coursera: Data Science Specialization to Build Intelligent Automations

Choose a Trigger

Ploomes

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Choose an Action

Coursera: Data Science Specialization

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Enable Integrations or automations with these events of Ploomes and Coursera: Data Science Specialization

Enable Integrations or automations with these events of Ploomes and Coursera: Data Science Specialization

Triggers

Create Deal

Create Deal

Triggers when new deal is created in Ploomes.

Deal Updated

Deal Updated

Fires when an existing deal is updated in Ploomes and provides the updated deal information.

New Contact

New Contact

Add a new contact to Ploomes CRM using the provided contact details.

Contact Updated

Contact Updated

Triggered when an existing contact is updated in Ploomes and returns the contact's updated details.

Create Document

Create Document

Create a new document in Ploomes and attach it to a CRM record (contact, deal, or company).

Update Document

Update Document

Modify an existing document in Ploomes CRM to change its content or metadata.

Request a new Trigger for Ploomes

Actions

Create Custom Field

Create Custom Field

Add a new custom field to a selected Ploomes entity, specifying its name, data type, and whether it is required.

Update contact

Update contact

Update an existing contact by ID with new details and custom fields.

Find Contacts

Find Contacts

Retrieve a contact by its ID, or return all contacts when no ID is provided.

Create Deal

Create Deal

Create a new deal with title, contact or person, stage, owner, currency, amount and optional custom fields.

Update Deal

Update Deal

Updates a Deal

Find Deals

Find Deals

Get a deal by ID or return all deals, including related contact, person, stage, tasks, products, quotes and documents.

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Frequently Asked Questions

How do I start an integration between Ploomes and Coursera: Data Science Specialization?

To start, connect both your Ploomes and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Ploomes triggers actions in Coursera: Data Science Specialization (or vice versa).

Can we customize how data from Ploomes is recorded in Coursera: Data Science Specialization?

Absolutely. You can customize how Ploomes 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.

How often does the data sync between Ploomes and Coursera: Data Science Specialization?

The data sync between Ploomes 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.

Can I filter or transform data before sending it from Ploomes to Coursera: Data Science Specialization?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Ploomes and Coursera: Data Science Specialization?

Yes, you can set conditional logic to control the flow of data between Ploomes 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.

Ploomes

About Ploomes

Ploomes is a comprehensive CRM platform designed to streamline sales processes and enhance customer relationship management. It offers tools for managing leads, automating workflows, and generating insightful reports to boost sales efficiency.

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Coursera: Data Science Specialization

About 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.

Learn More