Oracle Cloud Infrastructure Documentation

Creating a Project

Create a Data Science project to organize Data Science resources.

After you successfully create a project, you can create notebook sessions and models and associate them with the project. You and collaborators can then organize and document data science work within the projects.

    1. From the Data Science projects page, select Create project. If you need help finding the list of projects, see Listing Projects.
    2. In the Create project panel, select a compartment for the project.
    3. (Optional) Enter a unique name (255 character limit) for the project. If you don't provide a name, a name is automatically generated. For example, datascienceproject20200108222435.
    4. (Optional) Enter a description (400 character limit) for the project.
    5. (Optional) In the Tags section, add one or more tags to the <resourceType>. If you have permissions to create a resource, then you also have permissions to apply free-form tags to that resource. To apply a defined tag, you must have permissions to use the tag namespace. For more information about tagging, see Resource Tags. If you're not sure whether to apply tags, skip this option or ask an administrator. You can apply tags later.
    6. (Optional) To view the details for the project immediately after creation, select View detail page on clicking create.
    7. Select Create.

  • Use the oci data-science project create command and required parameters to create a project:

    oci data-science project create ----compartment-id <compartment-id>, -c [<name>] ... [OPTIONS]

    For a complete list of flags and variable options for CLI commands, see the CLI Command Reference.

  • Run the CreateProject operation to create a project.