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. Use the Console to sign in to a tenancy with the necessary policies.
    2. Open the navigation menu and select Analytics & AI. Under Machine Learning, select Data Science.
    3. Select Create project.
    4. In the Create project panel, select a compartment for the project.
    5. (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.
    6. (Optional) Enter a description (400 character limit) for the project.
    7. (Optional) Enter the tag namespace (for a defined tag), key, and value to assign tags to the resource.

      To add more than one tag, select Add tag.

      Tagging describes the various tags that you can use organize and find resources including cost-tracking tags.

    8. (Optional) To view the details for the project immediately after creation, select View detail page on clicking create.
    9. 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.