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Learning path: Getting started with Watson Studio

Level Topic Type
100 Introduction to IBM Watson Studio Article
101 Data visualization, preparation, and transformation using IBM Watson Studio Tutorial
201 Automate model building in IBM Watson Studio Tutorial
301 Creating SPSS Modeler flows in IBM Watson Studio Tutorial
401 Build models using Jupyter Notebooks in IBM Watson Studio Tutorial

This learning path is designed for anyone interested in quickly getting up to speed with using IBM® Watson™ Studio. Watson Studio simplifies the process of experimentation to deployment, as well as data exploration, model development, and training. This learning path consists of step-by-step tutorials that explain the process of working with data using Watson Studio.

To get started, click on a card below, or see the previous table for a complete list of topics covered.

Introduction to IBM Watson Studio


Learn about:

  • What is Watson Studio?
  • Data Science Methodologies
  • Common architectures
  • Machine Learning Service
  • Terms and Concepts

Data visualization, preparation, and transformation using IBM Watson Studio


Learn about:

  • Data understanding
  • Data visualization with Cognos Dashboards
  • Data preparation
  • Data transformation using Refine

Automate model building in IBM Watson Studio


Learn about:

  • AutoAI Experiment
  • Data pre-processing
  • Automated model selection
  • Automated feature engineering
  • Hyperparameter optimization

Creating SPSS Modeler flows in IBM Watson Studio


Learn about:

  • SPSS Data flows
  • Data flow pipelines
  • Building models
  • Deploying and testing models

Build models using Jupyter Notebooks in IBM Watson Studio


Learn about:

  • Creating and running notebooks
  • Visualizing and preparing data in notebooks
  • Building and testing models in notebooks
  • Deploying models using Machine Learning Service


Next: Introduction to IBM Watson Studio

Rich Hagarty
Einar Karlsen