At key stages of your journey, earn assessment-based certificates that recognize your achievements. To access a given certification exam, please complete the associated learning path first and the upstream certification exams (certification are incremental).
Core Designer Certificate
Take the assessment and obtain the Core Designer Certificate!
ML Practitioner Certificate
Take the assessment and obtain the ML Practitioner Certificate!
Advanced Designer Certificate
Take the assessment and obtain the Advanced Designer Certificate!
Dataiku DSS - The Value Proposition
Understand the product vision and key pillars of Dataiku DSS
Set up your favorite IDE and code environment
Use Case: Churn Prediction
Learn how to use Dataiku DSS to create a churn prediction model, based on customer data
Visual Recipes 102
Take your knowledge of Dataiku DSS visual recipes to the next level with powerful analytic functions, formulas, regex, common recipe steps, and more!
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
Use Case: Network Optimization
A car rental company looks to expand their network to satisfy new demand from a partnership with an insurance company
Advanced Prepare Recipe Usage
Learn how to use some of the advanced features of the Prepare recipe
Events Aggregation Plugin
Learn how to use the Events Aggregation plugin to generate features for events data.
Learn how to create a Flow whose output is a dataset, to be shared with other projects or externally to Dataiku.
Active Learning Plugin
A tutorial for using the Active Learning plugin
Dataiku DSS - Project Walkthrough
Tour the AI lifecycle through a DSS project
Learn how to use the tools for geospatial analytics
Image Classification with Code
Learn how to build image classification models with Keras in Dataiku DSS
Image Classification and Object Detection with Visual Tools
Learn how to use the Dataiku DSS deep learning plugins for image classification and object detection
Time Series Preparation
Learn how to prepare time series data with the Time Series Preparation plugin
Text Analysis with Plugins
Use Dataiku plugins for text analysis
Learn how to use Dataiku's plugin for reinforcement learning
Time Series with Code
In two tutorials, learn to use R code to build traditional models and Keras code to build deep learning models for time series data
Integration with Amazon Redshift
Learn how to use Amazon Redshift with Dataiku DSS
Integration with MongoDB
Learn how to use MongoDB with Dataiku DSS
Using PySpark in DSS
Learn how to use PySpark in notebooks and recipes in Dataiku DSS
Using SparkR in Dataiku DSS
Learn how to use SparkR in notebooks and recipes in Dataiku DSS
Learn how to create plugins in Dataiku DSS
Learn how to share plugins within your team or publicly through zip archives or git repositories
Data Governance with the GDPR Plugin
Learn how to use the GDPR plugin to comply with internal policies and external regulations around data privacy and protection
Learn how to collaborate in Dataiku DSS with flow zones, tags, wikis, discussions, and git for projects
Automating the Model Lifecycle
Use metrics, checks, and scenarios to schedule jobs and monitor the lifecycle of a data project
Learn how to deploy a Flow to a production environment
Learn how to deploy predictive models for real-time scoring using the Dataiku API node.
Use Case: Predictive Maintenance
A car rental company looks to predict when vehicles in the fleet will fail and do maintenance before they break down in the field
Learn how to automate workflows with metrics, checks, and scenarios
Use Case: Web Logs Analysis
The marketing team wants to use the website logs to perform referrer analysis and visitor analysis.
Intro to Statistical Analysis
Use Case: Bike Sharing Usage Patterns
A “smart city” initiative wants to understand bike sharing usage patterns across Washington, DC
Learn how to interpret regression model outputs
Time Series Basics
Learn the fundamentals of time series data.
Learn how to train and use MLLib models in Dataiku DSS
Learn how to train a machine learning model on partitions of your dataset.
NLP - The Visual Way
Learn how to prepare and model natural language data with visual tools in Dataiku DSS.
Time Series Modeling & Forecasting
After finishing Machine Learning Basics, learn how to deploy prediction models to score new data.
Machine Learning Basics
This course is designed for anyone who wants to get started with visual machine learning in Dataiku DSS.
Interactive Visual Statistics
Learn how to use tools for visual statistics in Dataiku DSS.
Learn how to identify clusters and name them
Frequently asked questions
Learn to work with plugins from the Dataiku plugin store
Complete your first Dataiku DSS project while experimenting in the Lab and testing out reporting tools like dashboards.
Visual Recipes 101
Dive into the full set of visual recipes for transforming data
Flow Views & Actions
Learn to work with the Flow using features like schema propagation, connection changes, and Flow zones and views.
Integration With SQL Databases
Learn more on how to connect Dataiku DSS to relational databases
From Excel to Dataiku DSS
Learn how to perform typical tasks in a spreadsheet using Dataiku DSS
Dataiku DSS & SQL
Learn more on the usage of Dataiku DSS with SQL databases
Python and Dataiku DSS
Learn how to integrate Python code into Dataiku DSS
Custom Models in Visual ML
Add custom code models to your Visual ML modeling tasks
Introduction to Deep Learning with Code
Build your first deep learning model with Keras in Dataiku DSS
Intro to Machine Learning
Unravel the mystery of machine learning.
Dataiku Applications Tutorials
Hands-on tutorials for using Dataiku Applications
Natural Language Processing with Code
Build a convolutional network for sentiment analysis, using Keras code in Dataiku’s Visual Machine Learning tool.
Turn high-maintenance, hard-coded information into efficient variables that can be reused everywhere.
Discover ways to partition file-based and column-based datasets to compute incrementally based on time-based or discrete partitions. Includes the Partition Redispatch feature.
R and Dataiku DSS
Learn how to integrate R code into Dataiku DSS
Web Apps in Dataiku DSS
Learn how to build Bokeh, Shiny, and HTML/JS web apps in Dataiku DSS