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Tutorials

Dataiku DSS Basics

Dataiku DSS 101

Take your first steps with Dataiku DSS in this tutorial!


Dataiku DSS 102

In this tutorial, you will learn how to enrich your data, combine data from multiple datasets, and create a new dataset based on recipe transformations.


Dataiku DSS 103

In this tutorial, you will create your first machine learning model.

Dataiku DSS Advanced

Using window recipes

If you are trying to:

  • filter rows by order of appearance within a group,
  • compute moving averages or cumulative sums,
  • or perform data manipulation similar to what SQL window functions do,

you can do all these by using a window recipe!


Partitioning datasets

Partitioning is a very powerful tool when working with incremental data. It will help with reducing computation time when you update you data science workflow.


Creating web apps

Web apps are a great way to share your insights. You can build beautiful and interactive data visualizations, or even dashboards for sophisticated reporting!

Use Case Samples

Churn prediction

Churn prediction is one of best known applications of data science in the Customer Relationship Management (CRM) and Marketing fields. Simply put, a churner is a user or customer that stops using a company’s products or services.

In this tutorial you will create a complete data science workflow to predict if a customer is going to churn. It covers the whole process, from data preparation to machine learning, and includes a good amount of feature engineering.