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Learning Paths & Certification

The Dataiku Academy Learning Paths and Certificate Program guides your learning on Dataiku DSS from your first steps through progressive mastery of the platform. At key stages of your journey, earn assessment-based certificates that recognize your achievements.

Core Designer

Your first steps with Dataiku DSS

Developer

Master Dataiku DSS's code integrations and expand your horizons beyond the built-in tools

ML Practitioner

ML Practitioner

Hone your skills on the visual tools in Dataiku DSS for building machine learning models

Advanced Designer

Advanced Designer

Become an expert in Dataiku DSS's visual tools for building data pipelines

Administrator

Learn how to integrate Dataiku DSS into your existing data stack, or build a system from the ground up with Dataiku DSS at the heart

Plugin Creator

Learn how to extend Dataiku DSS's built-in visual tools with your own custom creations

Power User

Bring together your data pipeline, machine learning, and coding skills to unleash the power of Dataiku DSS and deploy projects and models into production

Solution Architect

Solution Architect

Take your final steps to complete mastery of the Dataiku DSS platform and build end-to-end data science solutions

Core Designer Certificate

Core Designer Certificate

Take the assessment and obtain the Core Designer Certificate!

Basics 101 (Open)

Basics 101 (Open)

Begin your hands-on learning journey with Dataiku DSS. (Open versions of courses do not count towards the certificate program.)

Basics 102 (Open)

Basics 102 (Open)

Continue exploring your data by creating statistical analyses, learning new aggregation techniques, and exploring the Flow. (Open versions of courses do not count towards the certificate program.)

Basics 103 (Open)

Basics 103 (Open)

Complete your first Dataiku DSS project while experimenting in the Lab and testing out reporting tools like dashboards. (Open versions of courses do not count towards the certificate program.)

Dataiku DSS & SQL (Open)

Dataiku DSS & SQL (Open)

Learn more on the usage of Dataiku DSS with SQL databases. (Open versions of courses do not count towards the certificate program.)

Integration With SQL Databases (Open)

Integration With SQL Databases (Open)

Learn more on how to connect Dataiku DSS to relational databases. (Open versions of courses do not count towards the certificate program.)

Dataiku DSS - Project Walkthrough (Open)

Dataiku DSS - Project Walkthrough (Open)

Tour the AI lifecycle through a DSS project

Visual Recipes Overview (Open)

Visual Recipes Overview (Open)

Dive into the full set of visual recipes for transforming data. (Open versions of courses do not count towards the certificate program.)

Dataiku DSS - The Value Proposition (Open)

Dataiku DSS - The Value Proposition (Open)

Understand the product vision and key pillars of Dataiku DSS

Begin your hands-on learning journey with Dataiku DSS

Continue exploring your data by creating statistical analyses, learning new aggregation techniques, and exploring the Flow

Complete your first Dataiku DSS project while experimenting in the Lab and testing out reporting tools like dashboards.

Visual Recipes Overview

Visual Recipes Overview

Dive into the full set of visual recipes for transforming data

RecipeVisual Recipes

Integration With SQL Databases

Integration With SQL Databases

Learn more on how to connect Dataiku DSS to relational databases

Dataiku DSS & SQL

Dataiku DSS & SQL

Learn more on the usage of Dataiku DSS with SQL databases

Custom Models in Visual ML (Open)

Custom Models in Visual ML (Open)

Add custom code models to your Visual ML modeling tasks

Python and Dataiku DSS (Open)

Python and Dataiku DSS (Open)

Learn how to integrate Python code into Dataiku DSS

R and Dataiku DSS (Open)

R and Dataiku DSS (Open)

Learn how to integrate R code into Dataiku DSS

Web Apps in Dataiku DSS (Open)

Web Apps in Dataiku DSS (Open)

Learn how to build Bokeh, Shiny, and HTML/JS web apps in Dataiku DSS

Work Environment (Open)

Work Environment (Open)

Set up your favorite IDE and code environment

Advanced Prepare Recipe Usage (Open)

Advanced Prepare Recipe Usage (Open)

Learn how to use some of the advanced features of the Prepare recipe

Events Aggregation Plugin (Open)

Events Aggregation Plugin (Open)

Learn how to use the Events Aggregation plugin to generate features for events data.

Data Pipelines (Open)

Data Pipelines (Open)

Learn how to create a Flow whose output is a dataset, to be shared with other projects or externally to Dataiku.

Partitions (Open)

Partitions (Open)

Learn how to use partitions in Dataiku DSS

Active Learning Plugin (Open)

Active Learning Plugin (Open)

A tutorial for using the Active Learning plugin

Introduction to Deep Learning with Code (Open)

Introduction to Deep Learning with Code (Open)

Build your first deep learning model with Keras in Dataiku DSS

Geospatial Analytics (Open)

Geospatial Analytics (Open)

Learn how to use the tools for geospatial analytics

Image Classification with Code (Open)

Image Classification with Code (Open)

Learn how to build image classification models with Keras in Dataiku DSS

Image Classification with Visual Tools (Open)

Image Classification with Visual Tools (Open)

Learn how to use the Dataiku DSS plugins for image classification

Natural Language Processing with Code (Open)

Natural Language Processing with Code (Open)

Build a convolutional network for sentiment analysis, using Keras code in Dataiku’s Visual Machine Learning tool.

Natural Language Processing with Visual Tools (Open)

Natural Language Processing with Visual Tools (Open)

Use Dataiku's plugin to compute binary sentiment scores for English text data.

Reinforcement Learning (Open)

Reinforcement Learning (Open)

Learn how to use Dataiku's plugin for reinforcement learning

Time Series with Code (Open)

Time Series with Code (Open)

In two tutorials, learn to use R code to build traditional models and Keras code to build deep learning models for time series data

Time Series with Visual Tools (Open)

Time Series with Visual Tools (Open)

Learn how to visualize and prepare time series data with Dataiku DSS's visual tools

Integration with Amazon Redshift (Open)

Integration with Amazon Redshift (Open)

Learn how to use Amazon Redshift with Dataiku DSS

Integration with MongoDB (Open)

Integration with MongoDB (Open)

Learn how to use MongoDB with Dataiku DSS

Using PySpark in DSS (Open)

Using PySpark in DSS (Open)

Learn how to use PySpark in notebooks and recipes in Dataiku DSS

Using SparkR in Dataiku DSS (Open)

Using SparkR in Dataiku DSS (Open)

Learn how to use SparkR in notebooks and recipes in Dataiku DSS

Plugin Development (Open)

Plugin Development (Open)

Learn how to create plugins in Dataiku DSS

Plugin Management (Open)

Plugin Management (Open)

Learn how to share plugins within your team or publicly through zip archives or git repositories

Data Governance with the GDPR Plugin (Open)

Data Governance with the GDPR Plugin (Open)

Learn how to use the GDPR plugin to comply with internal policies and external regulations around data privacy and protection

Collaboration (Open)

Collaboration (Open)

Learn how to collaborate in Dataiku DSS with wikis, discussions, and git for projects

Automation (Open)

Automation (Open)

Learn how to use metrics, checks, and scenarios to schedule jobs and monitor the status and quality of your dataset

Flow Deployment (Open)

Flow Deployment (Open)

Learn how to deploy a Flow to a production environment

Real-Time Deployment (Open)

Real-Time Deployment (Open)

Learn how to deploy predictive models for real-time scoring using the Dataiku API node.

Use Case: Predictive Maintenance (Open)

Use Case: Predictive Maintenance (Open)

A car rental company looks to predict when vehicles in the fleet will fail and do maintenance before they break down in the field

Use Case: Churn Prediction (Open)

Use Case: Churn Prediction (Open)

Learn how to use Dataiku DSS to create a churn prediction model, based on customer data

Use Case: Web Logs Analysis (Open)

Use Case: Web Logs Analysis (Open)

The marketing team wants to use the website logs to perform referrer analysis and visitor analysis.

Use Case: Network Optimization (Open)

Use Case: Network Optimization (Open)

A car rental company looks to expand their network to satisfy new demand from a partnership with an insurance company

Use Case: Bike Sharing Usage Patterns (Open)

Use Case: Bike Sharing Usage Patterns (Open)

A “smart city” initiative wants to understand bike sharing usage patterns across Washington, DC

Regression Models (Open)

Regression Models (Open)

Learn how to interpret regression model outputs

Cluster Models (Open)

Cluster Models (Open)

Learn how to identify clusters and name them

Using MLLib (Open)

Using MLLib (Open)

Learn how to train and use MLLib models in Dataiku DSS

Machine Learning Basics (Open)

Machine Learning Basics (Open)

This course is designed for anyone who wants to get started with visual machine learning in Dataiku DSS. (Open versions of courses do not count towards the certificate program.)

From Excel to Dataiku DSS

From Excel to Dataiku DSS

Learn how to perform typical tasks in a spreadsheet using Dataiku DSS

Intro to Machine Learning

Intro to Machine Learning

Intro to Statistical Analysis

Intro to Statistical Analysis

Image Classification: The Visual Way

Image Classification: The Visual Way

This course is for anyone who wants to learn how to use the Dataiku DSS plugins to classify images.

Partitioned Models

Partitioned Models

Learn how to train a machine learning model on partitions of your dataset.

Time Series Basics

Time Series Basics

Time Series Preparation

Time Series Preparation

Time Series Modeling & Forecasting

Time Series Modeling & Forecasting

ML Practitioner Certificate

ML Practitioner Certificate

Take the assessment and obtain the ML Practitioner Certificate!

NLP - The Visual Way

NLP - The Visual Way

Frequently asked questions

Partitioned Models (Open)

Partitioned Models (Open)

Learn how to train a machine learning model on partitions of your dataset. (Open versions of courses do not count towards the certificate program.)

partitionpartitioned models

Scoring Basics (Open)

Scoring Basics (Open)

After finishing Machine Learning Basics, learn how to deploy prediction models to score new data. (Open versions of courses do not count towards the certificate program.)

machine learningscoring

After finishing Machine Learning Basics, learn how to deploy prediction models to score new data.

Machine Learning Basics

Machine Learning Basics

This course is designed for anyone who wants to get started with visual machine learning in Dataiku DSS.

Interactive Visual Statistics

Interactive Visual Statistics

Learn how to use tools for visual statistics in Dataiku DSS.

Interactive Visual Statistics (Open)

Interactive Visual Statistics (Open)

Learn how to use Dataiku DSS's tools for visual statistics. (Open versions of courses do not count towards the certificate program.)