This course builds on the [L1-DS] KNIME Analytics Platform for Data Scientists: Basics by introducing advanced data science concepts.
Learn all about flow variables, different workflow controls such as loops, switches, and error handling. Find out how to automatically find the best parameter settings for your machine learning model, see how Date & Time integrations work, and get a taste for ensemble models, cross validation, and in-database processing.
This is a full day instructor-led course. During the course there’ll be hands-on sessions based on real-world use cases.
- Flow Variables
- Workflow Control - Loops, Switch and Try Catch
- Date & Time
- Advanced Machine Learning - Ensemble Models, Parameter Optimization, and Cross Validation
- Database Extension
You should be an advanced KNIME user and ideally have already built some workflows. This course doesn’t provide an introduction to KNIME Analytics Platform - it focuses on more advanced data science concepts.
You'll receive a zoom link in a separate email a few days before the course starts. Make sure you have a stable internet connection!
Sure! The sessions will be recorded and you’ll have access to each one for seven days from the time the session is over.
Absolutely - fire away!
Your own laptop, ideally pre-installed with the latest version of KNIME Analytics Platform, which you can download at knime.com/downloads.