ML Practitioner

The ML Practitioner Learning Path builds upon  what you learned in Core Designer to use the visual tools in Dataiku DSS for building machine learning models, including both the built-in visual ML tool and plugins. 
At the end of this Learning Path, you will be ready to take the ML Practitioner Certificate Assessment!

 

Intro to Machine Learning
Intro to Machine Learning
Unravel the mystery of machine learning.
60 min
Machine Learning Basics
Machine Learning Basics
This course is designed for anyone who wants to get started with visual machine learning in Dataiku DSS.
97 min
Scoring Basics
Scoring Basics
After finishing Machine Learning Basics, learn how to deploy prediction models to score new data.
63 min
Intro to Statistical Analysis
Intro to Statistical Analysis
Interactive Visual Statistics
Interactive Visual Statistics
Learn how to use tools for visual statistics in Dataiku DSS.
68 min
NLP - The Visual Way
NLP - The Visual Way
Learn how to prepare and model natural language data with visual tools in Dataiku DSS.
70 min
NLPNatural Language ProcessingNatural Languagetext datatext
Time Series Basics
Time Series Basics
Learn the fundamentals of time series data.
40 min
Time Series Preparation
Time Series Preparation
Learn how to prepare time series data with the Time Series Preparation plugin
150 min
Time SeriesTime Series Preparation
Time Series Modeling & Forecasting
Time Series Modeling & Forecasting
Partitioned Models
Partitioned Models
Learn how to train a machine learning model on partitions of your dataset.
24 min
ML Practitioner Certificate
ML Practitioner Certificate
Take the assessment and obtain the ML Practitioner Certificate!
120 min
Dataiku DSS - The Value Proposition
Dataiku DSS - The Value Proposition
Understand the product vision and key pillars of Dataiku DSS
56 min
Core Designer
Work Environment
Work Environment
Set up your favorite IDE and code environment
Use Case: Churn Prediction
Use Case: Churn Prediction
Learn how to use Dataiku DSS to create a churn prediction model, based on customer data
Visual Recipes 102
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!
107 min
Advanced Designer Certificate
Advanced Designer Certificate
Take the assessment and obtain the Advanced Designer Certificate!
120 min
Core Designer Certificate
Core Designer Certificate
Take the assessment and obtain the Core Designer Certificate!
120 min
Basics 101
Basics 101
Begin your hands-on learning journey with Dataiku DSS
75 min
Basics 102
Basics 102
Continue exploring your data by creating statistical analyses, learning new aggregation techniques, and exploring the Flow
80 min
Use Case: Network Optimization
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
Advanced Prepare Recipe Usage
Learn how to use some of the advanced features of the Prepare recipe
Events Aggregation Plugin
Events Aggregation Plugin
Learn how to use the Events Aggregation plugin to generate features for events data.
Data Pipelines
Data Pipelines
Learn how to create a Flow whose output is a dataset, to be shared with other projects or externally to Dataiku.
Active Learning Plugin
Active Learning Plugin
A tutorial for using the Active Learning plugin
Dataiku DSS - Project Walkthrough
Dataiku DSS - Project Walkthrough
Tour the AI lifecycle through a DSS project
53 min
Core Designer
Geospatial Analytics
Geospatial Analytics
Learn how to use the tools for geospatial analytics
Image Classification with Code
Image Classification with Code
Learn how to build image classification models with Keras in Dataiku DSS
Image Classification and Object Detection with Visual Tools
Image Classification and Object Detection with Visual Tools
Learn how to use the Dataiku DSS deep learning plugins for image classification and object detection
Text Analysis with Plugins
Text Analysis with Plugins
Use Dataiku plugins for text analysis
Reinforcement Learning
Reinforcement Learning
Learn how to use Dataiku's plugin for reinforcement learning
Time Series with Code
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
Integration with Amazon Redshift
Learn how to use Amazon Redshift with Dataiku DSS
Integration with MongoDB
Integration with MongoDB
Learn how to use MongoDB with Dataiku DSS
Using PySpark in DSS
Using PySpark in DSS
Learn how to use PySpark in notebooks and recipes in Dataiku DSS
Using SparkR in Dataiku DSS
Using SparkR in Dataiku DSS
Learn how to use SparkR in notebooks and recipes in Dataiku DSS
Plugin Development
Plugin Development
Learn how to create plugins in Dataiku DSS
Plugin Management
Plugin Management
Learn how to share plugins within your team or publicly through zip archives or git repositories
Data Governance with the GDPR Plugin
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
Collaboration
Collaboration
Learn how to collaborate in Dataiku DSS with flow zones, tags, wikis, discussions, and git for projects
V8
Automating the Model Lifecycle
Automating the Model Lifecycle
Use metrics, checks, and scenarios to schedule jobs and monitor the lifecycle of a data project
Flow Deployment
Flow Deployment
Learn how to deploy a Flow to a production environment
Real-Time Deployment
Real-Time Deployment
Learn how to deploy predictive models for real-time scoring using the Dataiku API node.
Use Case: Predictive Maintenance
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
Automation
Automation
Learn how to automate workflows with metrics, checks, and scenarios
71 min
Advanced DesignerAutomation
Use Case: Web Logs Analysis
Use Case: Web Logs Analysis
The marketing team wants to use the website logs to perform referrer analysis and visitor analysis.
Use Case: Bike Sharing Usage Patterns
Use Case: Bike Sharing Usage Patterns
A “smart city” initiative wants to understand bike sharing usage patterns across Washington, DC
Regression Models
Regression Models
Learn how to interpret regression model outputs
Using MLLib
Using MLLib
Learn how to train and use MLLib models in Dataiku DSS
Cluster Models
Cluster Models
Learn how to identify clusters and name them
FAQ
FAQ
Frequently asked questions
Plugin Store
Plugin Store
Learn to work with plugins from the Dataiku plugin store
40 min
Basics 103
Basics 103
Complete your first Dataiku DSS project while experimenting in the Lab and testing out reporting tools like dashboards.
49 min
Core Designer
Visual Recipes 101
Visual Recipes 101
Dive into the full set of visual recipes for transforming data
133 min
RecipeVisual Recipes
Flow Views & Actions
Flow Views & Actions
Learn to work with the Flow using features like schema propagation, connection changes, and Flow zones and views.
90 min
Integration With SQL Databases
Integration With SQL Databases
Learn more on how to connect Dataiku DSS to relational databases
20 min
From Excel to Dataiku DSS
From Excel to Dataiku DSS
Learn how to perform typical tasks in a spreadsheet using Dataiku DSS
Dataiku DSS & SQL
Dataiku DSS & SQL
Learn more on the usage of Dataiku DSS with SQL databases
51 min
Python and Dataiku DSS
Python and Dataiku DSS
Learn how to integrate Python code into Dataiku DSS
Custom Models in Visual ML
Custom Models in Visual ML
Add custom code models to your Visual ML modeling tasks
Introduction to Deep Learning with Code
Introduction to Deep Learning with Code
Build your first deep learning model with Keras in Dataiku DSS
Dataiku Applications Tutorials
Dataiku Applications Tutorials
Hands-on tutorials for using Dataiku Applications
V8
Natural Language Processing with Code
Natural Language Processing with Code
Build a convolutional network for sentiment analysis, using Keras code in Dataiku’s Visual Machine Learning tool.
Variables 101
Variables 101
Turn high-maintenance, hard-coded information into efficient variables that can be reused everywhere.
11 min
Advanced Partitioning
Advanced Partitioning
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.
79 min
R and Dataiku DSS
R and Dataiku DSS
Learn how to integrate R code into Dataiku DSS
Web Apps in Dataiku DSS
Web Apps in Dataiku DSS
Learn how to build Bokeh, Shiny, and HTML/JS web apps in Dataiku DSS