Tutorial | Create your first project#

In this tutorial, we’ll cover much of what you need to familiarize yourself with Dataiku projects.


As opposed to concepts, articles marked as tutorial have step-by-step instructions aimed at having you reproduce the actions described.


This content is also included in the Core Designer learning path. After learning this material, challenge yourself to earn a certification!

Get started#


In this tutorial, you will:

  • Create a Dataiku project.

  • Explore the project homepage.


To complete this tutorial, you’ll need the following:

  • A Dataiku instance (version 9.0 and above).


    If you do not already have access, there are two ways to get started. From the Dataiku website, you can:

    • Start a 14 day free trial of Dataiku Cloud.

    • Install the free edition.

    A Dataiku screenshot of the website page to get started with the free edition or the Dataiku cloud trial.

Create your project#

Let’s get started! The first step is to create a new Dataiku project.

  1. From the Dataiku homepage, click +New Project > DSS tutorials > Core Designer > Basics 101. This action creates the starter project for you with a project ID (e.g. “DKU_TUTORIAL_BASICS_101”) unique to your instance.


You can also download the starter project from this website and import it as a zip file.


You cannot change the project ID once it is created in Dataiku. If you want a project with a different ID, you can duplicate the project and specify a new ID for the duplicate project.

  1. Explore the project homepage to discover the different tabs and features available on it.

    A Dataiku screenshot showing a project homepage.


    At any time, you can access the project homepage by clicking the project title near the top left corner of the screen.

What’s next?#

You now have a project, but no data in it. Acquiring some data will be covered in Tutorial | Getting started with datasets.


The starter project for this course have an empty Flow, but in other tutorials, the starter project will already have datasets and recipes ready for you to use.