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Teaching Materials

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General Information

Below is a collection of teaching materials for different data science topics. 
Each section has resources and links to download teaching materials.

KNIME Basics

This section comprises course materials for getting started on a data science journey with KNIME Analytics Platform. They start with a detailed introduction of KNIME Analytics Platform - from downloading it through to navigating the workbench - and how it can be used for different parts of the whole data science cycle (data import, manipulation, aggregation, visualization, model training, and deployment).

Advanced KNIME

The courses in this section cover all about flow variables, different workflow controls such as loops, switches, and error handling. In addition to finding out about how to automatically get the best parameter settings for your machine learning model, see how Date&Time integrations work, and get a taste for ensemble models, parameter optimization, and cross validation.