This document outlines the steps in the data science process from raw data to deployment using KNIME. It begins with an overview of the CRISP-DM process and then discusses each step in more detail, including data preparation, model training, optimization, evaluation, and deployment. It then provides an example classification problem using airline departure delay data and outlines challenges for participants to work through in data access/preparation, model training/optimization, and deployment. Contact information is also provided for KNIME resources.