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. On the Projects list page, select Create project. If you need help finding the list page, see Listing Projects.
    2. In the Create project panel, enter the following information.
      • Compartment: select a compartment for the project.
      • Name (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.
      • Description (Optional): Enter a description (400 character limit) for the project.
      • Tags (Optional, under Show advanced options): Add one or more tags to the project. 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.
      • View detail page on clicking create (Optional, if available): Select to view details immediately after the project is created.
    3. 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 parameters and values for CLI commands, see the CLI Command Reference.

  • Run the CreateProject operation to create a project.